Company DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare,...

Company DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare,...

About Us:

KONUX is a dynamic and fast-growing technology company that is transforming the way the railway industry works. Our AI-powered solutions empower our customers to make smarter, data-driven decisions, and our culture is fueled by grit, ingenuity, and credibility - we believe that these values are essential to unlocking the potential of technology and making a real impact. At KONUX, we are passionate about driving innovation in the fields of IoT and AI, and we are looking for like-minded individuals to join our team.

Job Description:

We are seeking a Senior Data Scientist (f/m/x) to join our team of innovators. In this role, you will be at the forefront of developing groundbreaking solutions that solve real-world problems. You will work alongside a team of experts who are committed to pushing the boundaries of what’s possible and driving innovation forward. If you’re a go-getter who’s not afraid to think outside the box, we want to hear from you. You’ll be a key driver of our culture, helping to ensure that our values are embedded in everything we do.

Your Impact:

• Develop insights using a wide range of data sources, including IIoT sensor data and other railway domain datasets
• Design and implement solutions - from understanding customer challenges to releasing models to production
• Deploy well-tested, maintainable solutions into live systems
• Develop tools and infrastructure for sensor data analysis that integrate smoothly into our end-to-end software engineering lifecycle
• Collaborate closely with engineers, product managers, and domain experts to translate business needs into technical impact
  
• Drive innovation and help you and your colleagues improve and grow

To be successful in this role, you’ll need to have:

• A degree in Mathematics, Statistics, Computer Science, Engineering, or a related field with 5+ years of hands-on experience in data science, having built and tested statistical or ML models
• Fluency in Python and ideally experience with an additional programming language
• Past experience working with dataframe-centric data manipulation tools such as pandas, PySpark, Polars and SQL
• Past experience owning complex data science problems independently, having developed models for production systems, beyond pure academic or research settings
• Familiarity with version control (Git) and common software engineering best-practices
• A proactive, impact-driven attitude and the ability to thrive in a fast-paced, collaborative environment

It’s a plus (but not a requirement) if you have:

Experience applying digital signal processing (DSP) techniques to extract features and insights, for example from sensor or time-series data

• Understanding of model monitoring techniques, software testing, and CI/CD workflows
• Worked with and trained models using diverse types of data (e.g. time-series, tabular, event logs, images, sensor data etc.)
• Experience with state-space and survival modeling, and familiarity with statistical packages such as statsmodels, PyMC, or Stan
• Experience with AWS and Databricks

Why Join Us:

💸 Competitive salary (85.000 - 100.000 EUR p.a. depending on seniority/exoerience)

📉 Equity (all permanent KONUX employees have equity!)

📖 Dedicated Learning & Development budget of 3.600€ p.a.

🏠 Comprehensive relocation support if this opportunity at KONUX requires you to move

👨‍💻 Hybrid working model: Meet your colleagues in the office minimum 2 days per week

🏢 Modern workspace with a cool rooftop with a mountain view

💻 Flexible working conditions, home office equipment and free choice between a Windows or Apple laptop

❤️‍🩹 Health benefits supporting your physical and mental well-being, e.g wellpass/gym membership and mental health app license

🍒Fruits, snacks and beverages for energy and our very own Oma cooking in the office every Thursday

👴 Company pension scheme

🙌 Access to Corporate Benefits and Future Bens

🌴 27 vacation days (+1 day on every work anniversary for 3 years)

💁 Volunteering activities (2 additional days off)

🍻 Company and team events

🐶 We are a pet-friendly company, so your four-legged friend can join you in the office!

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend’s best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

About the Role:

The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue. We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line. If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team.

What You Will Be Doing:

• Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.
• Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
• Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis.
• Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.
• Role Model: Set the standard for the team in terms of analytical thinking and excellence.
• AI for Change: Embed AI into the Revenue Analytics workflow, raising the floor on what the team can produce. You’ll have latitude to experiment and the expectation that you will.

What We’re Looking For:

• 5+ years experience in data science and/or consulting with strong emphasis on breaking down business problems into data driven impact.
• Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
• Expert knowledge of SQL, Python, A/B testing, and Github
• Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency
• Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically
• Empathetic, humble, and collaborative team player
• Advanced degree in data science, analytics, economics, statistics or similar quantitative field
• Candidates must be located within the continental United States

Expected Pay Range: $125,000 - $135,000 per year salaried*

\* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Life at Extend:

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.

Extend CCPA HR Notice

About Us:

KONUX is a dynamic and fast-growing technology company that is transforming the way the railway industry works. Our AI-powered solutions empower our customers to make smarter, data-driven decisions, and our culture is fueled by grit, ingenuity, and credibility - we believe that these values are essential to unlocking the potential of technology and making a real impact. At KONUX, we are passionate about driving innovation in the fields of IoT and AI, and we are looking for like-minded individuals to join our team.

Job Description:

We are seeking a Senior Data Scientist (f/m/x) to join our team of innovators. In this role, you will be at the forefront of developing groundbreaking solutions that solve real-world problems. You will work alongside a team of experts who are committed to pushing the boundaries of what’s possible and driving innovation forward. If you’re a go-getter who’s not afraid to think outside the box, we want to hear from you. You’ll be a key driver of our culture, helping to ensure that our values are embedded in everything we do.

Your Impact:

• Develop insights using a wide range of data sources, including IIoT sensor data and other railway domain datasets
• Design and implement solutions - from understanding customer challenges to releasing models to production
• Deploy well-tested, maintainable solutions into live systems
• Develop tools and infrastructure for sensor data analysis that integrate smoothly into our end-to-end software engineering lifecycle
• Collaborate closely with engineers, product managers, and domain experts to translate business needs into technical impact
  
• Drive innovation and help you and your colleagues improve and grow

To be successful in this role, you’ll need to have:

• A degree in Mathematics, Statistics, Computer Science, Engineering, or a related field with 5+ years of hands-on experience in data science, having built and tested statistical or ML models
• Fluency in Python and ideally experience with an additional programming language
• Past experience working with dataframe-centric data manipulation tools such as pandas, PySpark, Polars and SQL
• Past experience owning complex data science problems independently, having developed models for production systems, beyond pure academic or research settings
• Familiarity with version control (Git) and common software engineering best-practices
• A proactive, impact-driven attitude and the ability to thrive in a fast-paced, collaborative environment

It’s a plus (but not a requirement) if you have:

Experience applying digital signal processing (DSP) techniques to extract features and insights, for example from sensor or time-series data

• Understanding of model monitoring techniques, software testing, and CI/CD workflows
• Worked with and trained models using diverse types of data (e.g. time-series, tabular, event logs, images, sensor data etc.)
• Experience with state-space and survival modeling, and familiarity with statistical packages such as statsmodels, PyMC, or Stan
• Experience with AWS and Databricks

Why Join Us:

💸 Competitive salary (85.000 - 100.000 EUR p.a. depending on seniority/exoerience)

📉 Equity (all permanent KONUX employees have equity!)

📖 Dedicated Learning & Development budget of 3.600€ p.a.

🏠 Comprehensive relocation support if this opportunity at KONUX requires you to move

👨‍💻 Hybrid working model: Meet your colleagues in the office minimum 2 days per week

🏢 Modern workspace with a cool rooftop with a mountain view

💻 Flexible working conditions, home office equipment and free choice between a Windows or Apple laptop

❤️‍🩹 Health benefits supporting your physical and mental well-being, e.g wellpass/gym membership and mental health app license

🍒Fruits, snacks and beverages for energy and our very own Oma cooking in the office every Thursday

👴 Company pension scheme

🙌 Access to Corporate Benefits and Future Bens

🌴 27 vacation days (+1 day on every work anniversary for 3 years)

💁 Volunteering activities (2 additional days off)

🍻 Company and team events

🐶 We are a pet-friendly company, so your four-legged friend can join you in the office!

Here at Scout Motors, we’re carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.

But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.

The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.

At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.

Join us at Scout Motors and be part of shaping the future of transportation. If you’re ready to drive change and make history, apply now!

Role Overview

Scout Motors is building its first enterprise demand forecast - and there’s no sales history to build it on.

As a VW Group–backed EV company in the run-up to launch, Scout has reservations data, an enthusiastic and loyal community, and a product about to enter the market — but not the years of historical sales a demand model usually leans on. That’s the problem this role owns: building a rigorous, probabilistic forecast from the signals that do exist, and growing it into the analytical engine of Scout’s planning system as real demand data arrives.

This is the first dedicated modeling seat in Integrated Business Planning. You’ll develop the demand forecasting model and own the data behind it — then partner with IT and Product Management to productionize it into the digital IBP product Scout is building, so the forecast lives where the business actually plans and decides.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Build Scout’s first demand forecasting model — probabilistic rather than point-estimate, forecasting unconstrained demand at the grain the business plans on. Convert reservation backlog with explicit probabilities, phase the timing of that conversion, and layer in organic demand as its own signal.
• Solve the cold-start problem — stand up a credible forecast before there’s sales history, using reservations, configurator and order data, market analogs, and structured priors — then systematically replace assumptions with data as the market gives it to us.
• Own the demand data end to end — source, define, and steward the data that feeds the forecast; build the pipelines and the feature/data layer; own data quality and the shared definitions everyone downstream depends on.
• Partner across the business to get the inputs and outputs right — work with the teams that own the signals feeding the forecast and the teams that consume it, so the model is grounded in real inputs and lands in a format the business can actually use.
• Make the forecast legible — document methodology and assumptions, quantify uncertainty honestly, and explain the model’s logic clearly to non-technical stakeholders in Finance, Commercial, Production, and Procurement.
• Productionize with IT and Product — partner with engineering to move the model from notebooks into the IBP digital product (pipelines, deployment, monitoring, retraining)
• Stand up forecast measurement — back-testing, accuracy tracking, and model monitoring, so the forecast improves on a known cadence as post-launch data accumulates and the model is retrained against reality.
• Lay the foundation for what’s next — build the data and modeling base that Scout’s future AI/ML planning capabilities will extend.

Location & Travel Expectations:

• This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here’s what else you’ll bring:

• 12+ years of applied data science or forecasting, or equivalent experience — you’ve built and shipped statistical or ML models that other people depend on, not just one-off analyses.
• MS of PhD in a quantitative discipline(statistics, applied math, physics, operations research, economics, or similar), or equivalent applied experience
• A strong probabilistic and time-series modeling foundation — hierarchical, Bayesian, or other methods suited to granular, sparse, and uncertain demand. You reason in distributions, not just predictions.
• Fluent in Python and the modern modeling stack, strong SQL, and comfortable owning data end to end — pipelines, quality, and definitions, not just the model that sits on top.
• Experience forecasting with sparse, new-product, or cold-start data — analogs, priors, judgment-augmented methods — and honest about the limits of each.
• You’ve put models into production alongside engineering and product; you think about deployment, monitoring, and retraining, not just the notebook.
• You work fluently with AI coding tools (e.g., Claude Code, Copilot, Cursor) to build, prototype, and ship faster — and have the judgment to know where they help and where they don’t.
• You translate technical work for non-technical audiences and can defend a forecast to a skeptical, senior, cross-functional room.
• A high-ownership mindset, comfortable in a fast-moving, build-it-yourself environment where the data and the priorities are still maturing
• Nice to have: automotive, manufacturing, or other physical-product demand; demand sensing or hierarchical forecasting; ML Ops; experience embedding models inside a digital product.

What you’ll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Why This Role Matters

Scout’s entire planning system reconciles demand against supply and this is the seat that builds the demand side of that equation. You’ll own the model and the data from version one, with the rare chance to design them right before launch rather than retrofit them under pressure after. As Integrated Business Planning scales and the planning product matures, the person who built the forecast is positioned to grow into deeper technical and team ownership.

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate’s skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $160,000.00 - $192,500.00

Internal leveling code: IC7

Notice to applicants:

• To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.
• Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.
• Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
• Residing in New York City: This role is not eligible for remote work in New York City.

Equal Opportunity

Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law.Scout Motors is committed to compliance with allapplicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.

OVERVIEW

A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide.

Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR . This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.

Application Deadline: Please submit your application by 11:59 pm EST on Wednesday, July 22nd, 2026

Intro to Position

The Senior Insights Analyst, Mobile Analytics will be critical to building a new, leaner, audience-centric, data-driven app that could serve NPR and partnering stations in multi-modal formats. We will drive a significant increase in weekly audience and known users, and build engaging experiences that deepen daily habits, increase listening hours, and maximize revenue yield.

As the Senior Insights Analyst, Mobile Analytics for the NPR App,  you will drive data-informed decisions for NPR’s new audience-centric app.You will be the main point of contact to formulate, help run, and analyze experimentation done on NPR’s owned and operated platforms.  Your responsibilities also include extracting insights from complex datasets, creating visualizations, and managing cross-functional relationships. As a key member of the Audience Insights team, you’ll work closely with digital product teams, the newsroom, and leaders at NPR and our member stations nationwide. You have a unique blend of thoughtful, data-driven curiosity and pragmatism. You know how to make data come to life and be actionable. And you love the idea of using data to make NPR (and the world) a better place.

Reports to the Audience Insights Senior Manager, Product.

This is a union-represented role covered under the terms of a collective bargaining agreement with NABET-CWA DMU.

Responsibilities

• Driving critical insights based on analyses for the app product team, including assessing audience behavior, advocating for audience needs on the NPR App, running experiments, and leading relationships with relevant stakeholders
• Create and own the experimentation process on our owned and operated platforms, partnering closely with teams across the organization to understand and implement results
• Provide actionable insights and recommendations for a variety of groups across the organization as needed, including foundational trend reporting and presenting insights from deep analyses
• Independently write, implement quality controls, and train others to write complex SQL queries to provide performance analytics across app, video, and website datasets
• Share technical expertise with co-workers and teammates to improve work product
• Work with internal teams on how they can best use data for decision-making and train them to use insights, tools and resources.
• Prioritize incoming work based on knowledge of departmental and organizational strategy
• Through deep stakeholder cultivation and understanding of the media environment, anticipate needs and develop research tools and reporting to address current and future business needs
• Deliver recommendations with a clear connection to business decisions
• Proactively communicate relevant insights to cultivate a learning culture across the organization.

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time.

Required Skill and Qualifications

• 5+ years demonstrated expertise in SQL and databases. BigQuery/Dataform experience is a plus. Proven expertise fetching and transforming data using SQL and analytics APIs, with proven advanced SQL knowledge, taking raw data and manipulating it for complex cohort, behavioral, and pattern analysis.
• 5+ years demonstrated expertise in Google Firebase data and app analytics
• 5+ years demonstrated expertise with GA4 or similar large, raw datasets of digital behavior
• 5+ years demonstrated experience in Optimizely or comparable tool
• Ability to independently learn and understand new and complex data sources and integrate them with other data sets to create a complete analysis.
• Expert proficiency in Excel or Google Sheets, including writing complex formulas, validating data, and automated reporting.
• Skills in visualizing data, drawing conclusions, and explaining to a business audience, with the ability to flex style, depth, and complexity based on the audience.
• Excellent analysis and experimental design skills with a keen sense for data gaps and inconsistencies, and experience owning data-driven research from project inception to completion.
• Ability to assess organizational needs and prioritize requests based on the largest impact on the business.
• Proactive client and stakeholder communication, building trust and nurturing relationships to grow the culture of using audience insights.
• Deep domain knowledge, researching and following experts in the field to sustain and grow expertise.
• Excellent oral, written and visual communication skills, particularly at explaining complex quantitative information to non-technical audiences.
• Self-starter with the ability to work independently in a constantly changing environment with little supervision, as well as in a collaborative team environment..
• Eagerness to train other team members on technical skills and collaborate with them on creating a data-driven strategy, and to contribute to team culture, providing input on standards, stakeholder management, team resources, etc.

Preferred Qualifications

• Experience in news media
• Proven experience in analyzing data and building statistical models using R or Python.
• Proven experience in identifying complex analytical issues problems that require cross-functional collaboration and building partnerships to solve them
• Proven experience bringing teams together to solve complex problems

Work Location & Requirements

• NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or © a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position.

Job Type

• This is a full-time, exempt position.

Compensation

Salary Range: The U.S.-based anticipated salary range for this opportunity is $105,435.13 to $116,380.66 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees.

Does this sound like you? If so, we want to hear from you.

#LI-REMOTE

The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Pay Range

$105,435.13—$116,380.66 USD

NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law.

If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org.

You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application.

Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.

Type of Requisition:RegularClearance Level Must Currently Possess: NoneClearance Level Must Be Able to Obtain: NonePublic Trust/Other Required:BI Full 6C (T4)Job Family: Data Science and Data EngineeringJob Qualifications:Skills:Artificial Intelligence (AI), Data Engineering, DesignCertifications:NoneExperience:5 + years of related experienceUS Citizenship Required:NoJob Description: Build the AI/ML solutions that help our clients turn data into action as a Data Scientist Senior at GDIT.

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring. Muon’s IR Data Products team builds the analytics system that processes the data from our spacecraft’s custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Remote Sensing Data Scientist to join this team with a focus on Orthomosaic Tile products spanning two of Muon’s core missions.

In the near term, this role will be a key contributor to the development of Orthomosaic Tile products for the FireSat Initial Operating Capability (IOC) constellation — diving deep into real-world data from a brand new system and writing production-ready code that feeds directly into customer-facing services. In parallel, this role will ramp up on Muon’s Space-Based Environmental Monitoring (SBEM) program, leading early product design for the SBEM granule product, authoring technical and customer-facing design documentation, and owning the IR Data team’s engagement with SBEM stakeholders. Looking ahead to 2027 and the SBEM launch, this role will serve as the full product owner for the SBEM granule product. This is a high-impact, multi-mission role that sits at the intersection of rigorous Earth observation science and fast-moving product development, and is well-suited for someone who thrives on both deep technical work and cross-functional collaboration.

This position can be performed remotely from an approved location.

Responsibilities

• Develop imaging products for end-users from Muon’s infrared imaging missions, spanning both the FireSat Initial Operating Capability (IOC) and the Space-Based Environmental Monitoring (SBEM) program
• Research, design, and implement scalable algorithms for image mosaicking, orthorectification, and radiometric normalization of multispectral infrared imagery.
• Product owner for critical customer-facing imagery products in the SBEM and FireSat programs.
• Author and maintain technical and customer-facing design documents for imagery products, ensuring alignment between internal capabilities and external stakeholder requirements.
• Engage with customer technical stakeholders including Technical Interchange Meetings (TIMs), customer questions, and program meetings
• Write production-ready code that integrates into customer-facing data product pipelines and operational services.
• Ensure the scientific quality, quantitative validation, and integrity of Orthomosaic Tile products across both wildfire and SBEM missions.
• Work cross-functionally with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data product services.
• Learn new topics as needed (e.g., sensor geometry and characterization, georeferencing techniques, wildfire and environmental monitoring applications, cloud-native geospatial data engineering).

Qualifications

• PhD with 3+ years of industry experience; or MS with 6+ years industry experience; or BS +8 years industry experience
• 5+ years of experience building geospatial data products from remote sensing data
• Hands-on experience with image mosaicking, orthorectification, or related geospatial image processing techniques
• Experience working with real-world data from new or novel imaging instruments
• Familiarity with common geospatial data formats and tools (e.g., Cloud Optimized GeoTIFF, XArray, GDAL)
• Exceptional skills in Python-based development and analysis
• Ability to author and clearly communicate technical design documents and product specifications
• Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
• Ability to thrive in a fast-paced startup environment

Preferred Qualifications

• Experience processing multispectral or infrared satellite imagery
• Domain expertise in meteorology, weather, environmental remote sensing, or related Earth observation applications
• Domain expertise in  wildfire monitoring
• Experience supporting satellite mission product development, commissioning, or early operations
• Track record of delivering operational geospatial data products to external customers
• Experience as a product owner or technical lead for a data product
• Familiarity with cloud-native geospatial systems and pipelines (AWS preferred)
• Experience working with large datasets

Salary

The salary range for this role is $138,000 - $198,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space

Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.

Taking Care of Our Team

At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.

Our mission embraces the entire planet and we believe our team should too.  Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don’t check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

ITAR/EAR Requirements

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or © eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring. Muon’s IR Data Products team builds the analytics system that processes the data from our spacecraft’s custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Data Scientist to join the team to build out the on-orbit data calibration system.

In this role, the candidate will join Muon’s calibration team to develop calibration and image processing of the unique multi-spectral infrared data from several instrument variations in Muon’s IR missions. As the FireSat constellation scales, this role will take on an expanded mandate that spans both the FireSat Initial Operating Capability (IOC) commissioning and Muon’s Space-Based Environmental Monitoring (SBEM) program. In the near term, the candidate will join the calibration team to commission and calibrate the three FireSat satellites of the IOC constellation, scheduled to launch in Q3 2026. In parallel, the candidate will develop a comprehensive calibration plan for Muon’s SBEM instruments — a next-generation sensor suite featuring additional infrared spectral bands and significantly more stringent radiometric calibration requirements than the FireSat camera. As the SBEM program advances toward its 2027 launch, the candidate will first collaborate with the IR Instrument team on pre-launch calibration activities, then transition to lead the full on-orbit calibration of the SBEM instruments.

This position can be performed remotely from an approved location.

Responsibilities

• Design and implement radiometric calibration and image processing of the multispectral infrared imagery from Muon’s FireSat mission.
• Develop then execute the calibration program for the SBEM infrared camera.
• Research and development to improve foundational data calibration and processing.
• Implement and operate production pipelines for calibration and data processing.
• Write production-ready code.
• Work cross functionally within the team and across Muon to design, build, and maintain operational services from Muon’s core remote sensing missions
• Learn new topics as needed (measurement techniques, geospatial data engineering, software engineering, customer domain-specific implications)

Qualifications

• PhD with 3+ years of industry experience; or MS with 6+ years industry experience; or BS +8 years industry experience
• 4+ years of experience calibrating imaging instruments
• Hands-on experience with complex data from new imaging instruments
• Exceptional skills in python-based development and analysis
• Strong statistical and mathematical skills
• Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
• Ability to thrive in a fast-paced start up environment

Preferred Qualifications

• Experience with mid-wave infrared instruments and mid-wave infrared data processing
• Calibrating on-orbit instruments
• Deep knowledge of the science of remote sensing.
• Experience with geospatial data processing
• Familiarity with common geospatial data tooling and formats (e.g. XArray, COG, NetCDF)
• Domain expertise in geospatial analytics
• Familiarity with cloud-native systems (AWS, preferably)
• Experience working with large TB-sized datasets

Salary

The salary range for this role is $138,000 - $198,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space

Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.

Taking Care of Our Team

At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.

Our mission embraces the entire planet and we believe our team should too.  Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don’t check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

ITAR/EAR Requirements

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or © eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

Hi, we’re TechnologyAdvice.

At TechnologyAdvice, we pride ourselves on helping B2B tech buyers manage the complexity and risk of the buying process. We are a trusted source of information for tech buyers, delivering advice and facilitating connections between our buyers and the world’s leading sellers of business technology.

Headquartered in Nashville, Tennessee, we are a remote-first company with more than 20 digital publications and over 200 global team members in the US, UK, Singapore, Australia, and the Philippines. We’re proud to have been repeatedly recognized as one of America’s fastest growing private companies by Inc., as well as a Tennessee top workplace. We work hard each day and have fun, too, with monthly virtual events, recreational slack channels, and the occasional costumed dance from our CEO.

All positions are open to remote work unless otherwise specified in the requirements below.

The opportunity

We’re seeking a Senior Analytics Engineer who views data as a product and trusted business data as a strategic asset. You’ll partner closely with Engineering, Finance, Revenue, Marketing, Editorial, and other business teams to build the certified data models, semantic layers, and analytics platform that enable confident decision-making across TechnologyAdvice.

As an individual contributor on our distributed team, you’ll independently identify opportunities to improve how data is collected, modeled, validated, documented, and consumed throughout the organization. You’ll own initiatives from discovery and business definition through implementation, testing, documentation, adoption, and ongoing iteration—working directly with stakeholders to establish trusted metrics and eliminate ambiguity in how the business measures success.

We’re rebuilding the foundation of how trusted data is created, governed, and consumed across TechnologyAdvice. Success in this role isn’t measured by the number of dashboards built or SQL queries written. It’s measured by the trust the organization places in its data, the adoption of certified data models, improvements in decision-making, and your ability to independently identify and deliver high-value opportunities that improve how the company operates.

The best candidates are naturally curious, highly autonomous, and enjoy translating ambiguous business problems into scalable, trusted data products. They leverage modern AI tools to accelerate development, documentation, testing, and analysis while maintaining rigorous standards for data quality, governance, and engineering excellence.

Our goal is simple: every meeting, every dashboard, and every business decision should be powered by the same trusted data.

If you’re excited by the opportunity to help build a modern analytics platform where every meeting can rely on the same trusted metrics, we’d love to talk.

Location: India (Remote)

Employment Type: Contractor

What you’ll do

• Own the design, implementation, and evolution of certified data models, semantic layers, and trusted business metrics that become the foundation for reporting and decision-making across TechnologyAdvice.
• Partner directly with Finance, Revenue, Marketing, Editorial, Product, and Engineering stakeholders to understand business questions, define trusted metric definitions, and translate ambiguity into scalable data solutions.
• Design, build, and maintain analytics models, transformations, and data products using modern analytics engineering practices.
• Establish and continuously improve data quality through automated testing, validation, monitoring, and observability to ensure business stakeholders can trust the data they use every day.
• Improve the architecture, organization, and maintainability of our analytics platform, continuously identifying opportunities to simplify, standardize, and modernize our Business Intelligence ecosystem.
• Collaborate with DevOps and Software Engineers to improve data ingestion, lineage, orchestration, governance, and platform reliability across the analytics stack.
• Apply AI-assisted development practices to accelerate SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining rigorous standards for data quality and accuracy.
• Document business definitions, data models, metric logic, and architectural decisions to improve transparency, onboarding, and long-term maintainability.
• Continuously evaluate new technologies, AI capabilities, and analytics engineering practices that improve data quality, governance, developer productivity, and stakeholder confidence.
• Own trusted data products end-to-end—from business discovery and metric definition through implementation, validation, adoption, and continuous improvement.
• Champion a culture of trusted data by helping teams adopt certified data models and reducing duplicate business logic across reports, dashboards, and applications.

Who you are

Ownership & Business Impact

• Demonstrated ability to simplify complex data ecosystems by standardizing business logic, establishing trusted metric definitions, reducing duplicate reporting logic, and increasing organizational confidence in data.
• Demonstrated ability to translate ambiguous business problems into trusted, scalable data products by partnering directly with stakeholders throughout discovery, implementation, validation, and adoption.
• Proven track record of independently delivering analytics solutions that improve business decision-making with minimal oversight.
• Strong judgment in evaluating build-vs-buy decisions and identifying opportunities to leverage existing platforms, automation, and AI before creating custom solutions.
• Experience defining business metrics and establishing consistent semantic definitions across multiple stakeholders and reporting systems.

Analytics Engineering Excellence

• Deep experience designing, building, and maintaining certified data models using modern analytics engineering practices.
• Strong understanding of dimensional modeling, semantic layers, data quality, and analytics engineering principles.
• Demonstrated experience implementing automated testing, validation, documentation, and monitoring to improve trust in analytical data.
• Strong systems thinking with the ability to understand how upstream data collection, transformations, and downstream reporting interact across the analytics ecosystem.
• Demonstrated ability to leverage AI-assisted development tools to improve SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining high standards for accuracy and quality.

Technical Expertise

• Advanced SQL skills with demonstrated experience writing, optimizing, and troubleshooting complex analytical queries.
• Experience with modern data transformation frameworks (e.g., dbt or similar).
• Experience working with cloud data warehouses (e.g., Amazon Redshift, BigQuery, or similar platforms).
• Experience designing data models that balance usability, scalability, performance, and long-term maintainability.
• Familiarity with modern data orchestration, version control, CI/CD, and collaborative engineering workflows.

Collaboration & Communication

• Strong communication skills with the ability to translate technical concepts into business language and collaborate effectively across technical and non-technical stakeholders.
• Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing priorities and consistently delivering results.
• Passion for building trust in data and continuously improving how organizations measure, understand, and act on business performance.

Experience with Redshift, BigQuery, dbt, Airflow, Dagster, Python, OpenMetadata, semantic layers, or metric stores is preferred, but exact technology matches are not required. This role is best suited for someone who brings a mindset for platform modernization, strong cross-functional partnership, a dedication to data quality and governance, and a practical approach to using AI to accelerate their analytics workflows.

#LI-Remote

*Please note that, as this is a contract position, no perks or benefits are included with this role.

Our Analytics Engineering Philosophy at TechnologyAdvice

• We build trusted data — Our goal is simple: every meeting, every dashboard, and every business decision should be powered by the same trusted data. And we believe every business metric should have one trusted definition, not ten competing implementations.
• We think like product engineers — We don’t just write SQL. We build reusable data products that solve business problems and improve decision-making across the organization.
• We optimize for trust over speed — Fast dashboards are valuable, but trusted metrics are essential. We invest in testing, documentation, governance, and quality to ensure confidence in every number we publish.
• We embrace AI — We expect the thoughtful use of AI-powered tools (Cursor, Claude, ChatGPT, and others) to accelerate development, documentation, testing, and analysis while maintaining rigorous engineering standards.
• We own outcomes — Analytics Engineers are empowered to challenge assumptions, simplify complexity, improve business definitions, and identify opportunities that increase organizational trust in data.
• We continuously improve — We modernize our analytics platform through automation, standardization, and engineering best practices, always looking for ways to reduce technical debt and increase long-term maintainability.

Work authorization

Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in India at hire and must maintain authorization to work in India throughout their employment with our company.

Salary Range

We seek to hire top-tier individuals and intend for our compensation to be at a rate that allows us to recruit and retain individuals who align with our core values, purpose, mission, and vision. Final total compensation is based on a multitude of factors including, but not limited to, skill level, relevant experience to the position, and cost of labor.

Hourly pay range

₹1,800—₹2,700 INR

EOE statement

We believe that our differences make us stronger, and thus foster a diverse and inclusive culture where people feel safe being themselves. TechnologyAdvice is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

Pre-employment screening required.

TechnologyAdvice does not engage with external staffing agencies. Any candidates introduced by such firms will not be eligible for compensation. TechnologyAdvice communicates only through @technologyadvice.com emails and official recruiting platforms. We never recruit via Teams, WhatsApp, or similar apps, and we will never request money, gift cards, or personal financial details during hiring.

Any AI-generated or incomplete application answers will be auto-rejected.

Who we areRanked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly.

Hi, we’re TechnologyAdvice.

At TechnologyAdvice, we pride ourselves on helping B2B tech buyers manage the complexity and risk of the buying process. We are a trusted source of information for tech buyers, delivering advice and facilitating connections between our buyers and the world’s leading sellers of business technology.

Headquartered in Nashville, Tennessee, we are a remote-first company with more than 20 digital publications and over 200 global team members in the US, UK, Singapore, Australia, and the Philippines. We’re proud to have been repeatedly recognized as one of America’s fastest growing private companies by Inc., as well as a Tennessee top workplace. We work hard each day and have fun, too, with monthly virtual events, recreational slack channels, and the occasional costumed dance from our CEO.

All positions are open to remote work unless otherwise specified in the requirements below.

The opportunity

We’re seeking a Senior Analytics Engineer who views data as a product and trusted business data as a strategic asset. You’ll partner closely with Engineering, Finance, Revenue, Marketing, Editorial, and other business teams to build the certified data models, semantic layers, and analytics platform that enable confident decision-making across TechnologyAdvice.

As an individual contributor on our distributed team, you’ll independently identify opportunities to improve how data is collected, modeled, validated, documented, and consumed throughout the organization. You’ll own initiatives from discovery and business definition through implementation, testing, documentation, adoption, and ongoing iteration—working directly with stakeholders to establish trusted metrics and eliminate ambiguity in how the business measures success.

We’re rebuilding the foundation of how trusted data is created, governed, and consumed across TechnologyAdvice. Success in this role isn’t measured by the number of dashboards built or SQL queries written. It’s measured by the trust the organization places in its data, the adoption of certified data models, improvements in decision-making, and your ability to independently identify and deliver high-value opportunities that improve how the company operates.

The best candidates are naturally curious, highly autonomous, and enjoy translating ambiguous business problems into scalable, trusted data products. They leverage modern AI tools to accelerate development, documentation, testing, and analysis while maintaining rigorous standards for data quality, governance, and engineering excellence.

Our goal is simple: every meeting, every dashboard, and every business decision should be powered by the same trusted data.

If you’re excited by the opportunity to help build a modern analytics platform where every meeting can rely on the same trusted metrics, we’d love to talk.

Location: India (Remote)

Employment Type: Contractor

What you’ll do

• Own the design, implementation, and evolution of certified data models, semantic layers, and trusted business metrics that become the foundation for reporting and decision-making across TechnologyAdvice.
• Partner directly with Finance, Revenue, Marketing, Editorial, Product, and Engineering stakeholders to understand business questions, define trusted metric definitions, and translate ambiguity into scalable data solutions.
• Design, build, and maintain analytics models, transformations, and data products using modern analytics engineering practices.
• Establish and continuously improve data quality through automated testing, validation, monitoring, and observability to ensure business stakeholders can trust the data they use every day.
• Improve the architecture, organization, and maintainability of our analytics platform, continuously identifying opportunities to simplify, standardize, and modernize our Business Intelligence ecosystem.
• Collaborate with DevOps and Software Engineers to improve data ingestion, lineage, orchestration, governance, and platform reliability across the analytics stack.
• Apply AI-assisted development practices to accelerate SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining rigorous standards for data quality and accuracy.
• Document business definitions, data models, metric logic, and architectural decisions to improve transparency, onboarding, and long-term maintainability.
• Continuously evaluate new technologies, AI capabilities, and analytics engineering practices that improve data quality, governance, developer productivity, and stakeholder confidence.
• Own trusted data products end-to-end—from business discovery and metric definition through implementation, validation, adoption, and continuous improvement.
• Champion a culture of trusted data by helping teams adopt certified data models and reducing duplicate business logic across reports, dashboards, and applications.

Who you are

Ownership & Business Impact

• Demonstrated ability to simplify complex data ecosystems by standardizing business logic, establishing trusted metric definitions, reducing duplicate reporting logic, and increasing organizational confidence in data.
• Demonstrated ability to translate ambiguous business problems into trusted, scalable data products by partnering directly with stakeholders throughout discovery, implementation, validation, and adoption.
• Proven track record of independently delivering analytics solutions that improve business decision-making with minimal oversight.
• Strong judgment in evaluating build-vs-buy decisions and identifying opportunities to leverage existing platforms, automation, and AI before creating custom solutions.
• Experience defining business metrics and establishing consistent semantic definitions across multiple stakeholders and reporting systems.

Analytics Engineering Excellence

• Deep experience designing, building, and maintaining certified data models using modern analytics engineering practices.
• Strong understanding of dimensional modeling, semantic layers, data quality, and analytics engineering principles.
• Demonstrated experience implementing automated testing, validation, documentation, and monitoring to improve trust in analytical data.
• Strong systems thinking with the ability to understand how upstream data collection, transformations, and downstream reporting interact across the analytics ecosystem.
• Demonstrated ability to leverage AI-assisted development tools to improve SQL development, documentation, testing, root cause analysis, and engineering productivity while maintaining high standards for accuracy and quality.

Technical Expertise

• Advanced SQL skills with demonstrated experience writing, optimizing, and troubleshooting complex analytical queries.
• Experience with modern data transformation frameworks (e.g., dbt or similar).
• Experience working with cloud data warehouses (e.g., Amazon Redshift, BigQuery, or similar platforms).
• Experience designing data models that balance usability, scalability, performance, and long-term maintainability.
• Familiarity with modern data orchestration, version control, CI/CD, and collaborative engineering workflows.

Collaboration & Communication

• Strong communication skills with the ability to translate technical concepts into business language and collaborate effectively across technical and non-technical stakeholders.
• Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing priorities and consistently delivering results.
• Passion for building trust in data and continuously improving how organizations measure, understand, and act on business performance.

Experience with Redshift, BigQuery, dbt, Airflow, Dagster, Python, OpenMetadata, semantic layers, or metric stores is preferred, but exact technology matches are not required. This role is best suited for someone who brings a mindset for platform modernization, strong cross-functional partnership, a dedication to data quality and governance, and a practical approach to using AI to accelerate their analytics workflows.

#LI-Remote

*Please note that, as this is a contract position, no perks or benefits are included with this role.

Our Analytics Engineering Philosophy at TechnologyAdvice

• We build trusted data — Our goal is simple: every meeting, every dashboard, and every business decision should be powered by the same trusted data. And we believe every business metric should have one trusted definition, not ten competing implementations.
• We think like product engineers — We don’t just write SQL. We build reusable data products that solve business problems and improve decision-making across the organization.
• We optimize for trust over speed — Fast dashboards are valuable, but trusted metrics are essential. We invest in testing, documentation, governance, and quality to ensure confidence in every number we publish.
• We embrace AI — We expect the thoughtful use of AI-powered tools (Cursor, Claude, ChatGPT, and others) to accelerate development, documentation, testing, and analysis while maintaining rigorous engineering standards.
• We own outcomes — Analytics Engineers are empowered to challenge assumptions, simplify complexity, improve business definitions, and identify opportunities that increase organizational trust in data.
• We continuously improve — We modernize our analytics platform through automation, standardization, and engineering best practices, always looking for ways to reduce technical debt and increase long-term maintainability.

Work authorization

Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in India at hire and must maintain authorization to work in India throughout their employment with our company.

Salary Range

We seek to hire top-tier individuals and intend for our compensation to be at a rate that allows us to recruit and retain individuals who align with our core values, purpose, mission, and vision. Final total compensation is based on a multitude of factors including, but not limited to, skill level, relevant experience to the position, and cost of labor.

Hourly pay range

₹1,800—₹2,700 INR

EOE statement

We believe that our differences make us stronger, and thus foster a diverse and inclusive culture where people feel safe being themselves. TechnologyAdvice is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

Pre-employment screening required.

TechnologyAdvice does not engage with external staffing agencies. Any candidates introduced by such firms will not be eligible for compensation. TechnologyAdvice communicates only through @technologyadvice.com emails and official recruiting platforms. We never recruit via Teams, WhatsApp, or similar apps, and we will never request money, gift cards, or personal financial details during hiring.

Any AI-generated or incomplete application answers will be auto-rejected.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit...

The work we do has an impact on millions of lives, and you can be a part of it.

We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.

In this role, you will work as part of the IT Planning and Engagement team under the direction of the Enterprise Analyst leadership. A self-motivated individual with exceptional communication, teamwork and an ability and desire to assist in fostering a collaborative and continuous-improvement environment is critical to the success of this role.  As part of this team, you will have an opportunity to work in an agile team environment and will gain skills to support across teams in the IT Planning & Engagement organization.

An ideal candidate is someone who can leverage strong technical skills and business knowledge to contribute to the team. They must be a self-starter, have an inquisitive nature, and possess a strong aptitude to pick up new skills and knowledge through research, perseverance, and training.  They must be adaptable to an ever-changing environment, as well as being able to think outside the box to provide innovative solutions. They will play a significant role on the IT teams they are part of by understanding business requests and refining them into technical requirements for development, as well as developing test cases and performing testing.

This position requires strong analytical, complex problem-solving, and organizational skills, while maintaining a sense of urgency to meet individual and team deadlines and goals. This person should show an inquisitive nature, seek improvements, and demonstrate strong accuracy and attention to detail.

Responsibilities:

•    Lead coordination with customers to elicit and translate business needs into detailed functional requirements, then collaborate with development team to design and transition functional requirements into technical solution

•    Develop a trusting relationship with customers to better support the business areas on enhancement requests and system-related issues

•    Continuously explore new technologies to further facilitate discussions on how they could be used to make our processes more efficient

•    Test user stories and ensure all acceptance criteria is met, which may include creating/running queries to generate, validate, and analyze data from various applications

•    Work within an agile environment following sprint commitments and release schedules

•    Acts as a resource to help define the scope and objectives of moderately complex system-related projects using various analysis, research and fact-finding techniques, and evaluates the proposed new systems or enhancements for estimates and feasibility

•    Creates, maintains and coordinates updates to moderately complex critical system data elements and configurable applications, including rules, values, tables and output with little or no development resource assistance

•    Prepares end-user procedures and manuals and provides end-user training for moderately complex new or changed system functionality

•    Mentors and trains team members on technology, as well as best practices and standards

Knowledge, Skills, Attributes:

•    Strong aptitude to pick up new skills and knowledge through research and perseverance

•    The adaptability to work in an ever-changing and dynamic environment and works well under deadlines and pressure

•    Ability to support multiple IT teams and projects simultaneously

•    Ability to think outside the box to provide innovative solutions

•    Self-starter that can initiate research and/or contact with others to solve issues

•    Exceptional interpersonal skills, including teamwork, facilitation, and collaboration across teams/departments

•    Proven complex problem solving and analytical thinking and ability to approach problems logically and systematically

•    Excellent written and verbal communication skills

•    Willingness and ability to assist with change management

•    Experience mentoring

•    Ability to travel as needed

Work Experience, Education, Certification/Training (Required):

•    Bachelor’s degree in a technical or business-related field or equivalent work experience

•    Minimum 5+ years’ experience as a Business Systems Analyst or relatable position

•    Experience working with business units to define needs, provide analysis and document consequences of change

•    Experience collaborating with internal IT teams to define and design application solutions that meet the customer needs and IT best practices

Work Experience, Education, Certification/Training (Desired):

•    Experience with Agile methodology and proven ability to transform complex problems into stories

•    Working knowledge of various coding languages, including the following: SQL, C#, or JS

•    Working knowledge of various software platforms, including: Microsoft Dynamics and Power Apps, NICE/Amelia, OpenText, Solimar, CMOD, Hyland OnBase, Microsoft Power BI

•    Understands the moderately complex data structure and database schemas

$76,500 - $112,000 a year

Protective’s targeted salary range for this position is $76,500 to $112,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective’s total compensation package for employees.

This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance.

Employee Benefits:

We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits (e.g., paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health.  Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective’s platform to improve wellbeing while earning cash rewards.

Eligibility for certain benefits may vary by position in accordance with the terms of the Company’s benefit plans.

Accommodations for Applicants with a Disability:

If you require an accommodation to complete the application and recruitment process due to a disability, please email [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process.

Please note that the above email is solely for individuals with disabilities requesting an accommodation.  General employment questions should not be sent through this process.

We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Sr. Workforce Analyst plays a critical role in ensuring Contact Center Operations for US Lifestyle and Global Housing can consistently meet client contractual Service Level Agreements (SLAs).

Since 2015, Mejuri has reimagined what fine jewelry can be in a modern world—shifting it from a traditional gift to to a personal choice rooted in self-expression.

Founded by third-generation jeweller Noura Sakkijha, the brand was built on a simple idea: fine jewelry shouldn’t require a special occasion, and it should never come with guilt. It’s about celebrating yourself—your style, your life, your everyday.

Mejuri meets customers where they are—online, in app, and through a growing global retail footprint of 58+ stores worldwide. Mejuri is also deeply committed to doing things the right way, with responsible sourcing, sustainable practices, and philanthropic initiatives that reflect our values and long-term vision.

Job Overview

As a Senior Allocation Analyst at Mejuri, you will be part of the Merchandising team and act as the analytical engine of retail allocation.  As we sharpen how every door in our retail fleet performs, this role will impact how we turn door-level performance into the allocation and replenishment decisions that put the right product, in the right depth, in the right store, at the right time. You will directly impact how we drive sell-through, protect margin, and optimizing our fleet

You are an analytical self-starter who is equally at home in the data and in the room with Merchandising and Planning. You don’t just move units — you build the intelligence layer that explains how every door behaves, and you use it to make sharper allocation calls than the fleet has ever made before.

What you’ll do

Door & fleet analysis (the core of the role)

• Own door-level performance analysis — sell-through, rate of sale, weeks of supply, in-stock rate, and productivity at the style, category, and price-point level.
• Build and maintain store clusters and tiers, grouping doors by volume, productivity, capacity, and customer profile — and running the seasonal cluster resets as the fleet and assortment evolve.
• Build the door- and cluster-level view of assortment productivity — where breadth and depth are over- or under-performing — and bring it forward to inform Merchandising’s assortment decisions; own the model-stock and depth targets that flow from the assortments they set.
• Diagnose out-of-stocks and lost sales by door and variant, quantifying demand-transfer and revenue impact to prioritize replenishment and rebalancing.
• Develop comparable-door and comparable-style analysis to benchmark performance and to seed demand for new products and doors.

Allocation & replenishment

• Allocate and replenish product to doors against assortments, cluster minimums, capacity, and financial targets — balancing service level against excess and aged-inventory risk, and running rebalancing and inter-store transfers to chase demand.
• Own initial allocation for newness and new store openings — run the weekly product-drop cadence (allocation, store assortment updates, launch tracking), seed new launches with test-and-scale reads that inform go-forward depth, set opening buys for new doors as the fleet scales, and flag launch and delay risk early.
• Manage clearance and lifecycle transitions — size end-of-life and clearance exits by door, and execute material and assortment transitions and discontinued-product flow-through.
• Balance inventory across channels and nodes — store, web, DC, and concessions — positioning and pooling stock to protect service levels and enable fulfillment flexibility such as ship-from-store.
• Allocate across global markets — factoring the different lead times, sales shapes, and market requirements of the US, Canada, UK, and AU into depth and flow by region.
• Optimize depth, pack, and size-curve logic by door (e.g., ring sizes, chain lengths) so the right quantities and variants land where they sell.

Data, insight & process

• Own allocation master data and system hygiene — maintaining min/safety stock, model stock, and cluster assortments, and safeguarding the integrity of weekly reconciliation and file uploads.
• Build and refine scalable allocation, replenishment, and reporting tools and models that grow with the business.
• Close the loop with post-season hindsight — reviewing allocation effectiveness (did depth land where it sold? forecast vs. actual by cluster and door?) and feeding the read back into the next allocation cycle.
• Bring the allocation point of view to cross-functional forums — S&OP, business reviews, pre-season planning, and launch-risk and new-store-opening meetings — so inventory positioning shapes decisions rather than just executing after them.
• Translate analysis into clear, headline-first recommendations for Merchandising, Planning, and Retail leadership, and run the weekly reporting rhythm that shows where the fleet is winning, where it’s leaking, and what to do about it.
• Set the standard for how allocation gets done — codify best practices, level up the tools and process, and act as the go-to resource who mentors and unblocks more junior planners, even without direct reports.

What you’ll bring to the team

• 4–6 years of experience in retail allocation, merchandise planning, or inventory analysis in a fast-paced, multi-door retail environment.
• A strong analytical toolkit: advanced Excel (comfortable building models from scratch), plus fluency — or a fast ramp — in SQL and BI tools (Looker, Tableau, Omni, or similar) to work with door-level data at scale.
• Comfort with — or genuine curiosity about — AI-assisted modeling and analytics tools, and a drive to use them to build smarter, faster allocation logic.
• A diagnostic mindset — you’re drawn to the why behind door performance, not just the mechanics of pushing units.
• Command of the metrics allocation drives — sell-through, rate of sale, weeks of supply, in-stock %, and inventory turn.
• Strong attention to data integrity — comfortable owning the master data, parameters, and files the allocation engine runs on.
• Clear, confident communication — you can make a data story land with senior stakeholders without the jargon.
• Comfort creating structure and process.
• Enthusiasm for Mejuri’s mission; experience in retail, fashion, or jewelry is a strong asset.
• We’re building an AI-fluent organization. We welcome candidates at all stages of their AI journey — what matters is curiosity, a willingness to learn, and an openness to working alongside AI tools as part of how we do our best work.

Benefits at Mejuri:

• A minimum of four weeks vacation, plus personal days and three religious/cultural observance days.
• A hybrid work model for all corporate roles
• ‘Mejuri Passport’ which allows employees who meet specific criteria to work in other locations for one month per year.
• Comprehensive medical and dental benefits, including mental health coverage, and generous personal and sick days for our full-time employees. We also offer bereavement leave, including miscarriage and stillbirth support.
• Parental leave salary top-up of up to 80%, as well as a personalized return-to-work transition and accommodation plan for full-time employees.
• A generous product discount!

Please note that these benefits apply to full-time employees.

Location

Toronto, Ontario

60 Bloor Street W

Hybrid; 3 days in office 2 days remote

At Mejuri we embrace a hybrid working environment and support our corporate employees to be successful whether they are at home or in the office. The primary purpose of our offices is to drive collaboration and deepen relationships with one another.This position requires in office work 3 days a week and remote work 2 days a week. Our office is located at 60 Bloor Street W, Toronto.

Salary 70K-90K

Looking for the perfect next opportunity is a big decision. Mejuri recognizes the importance of pay transparency when it comes to salary ranges as it empowers individuals through the hiring process and supports them in making an informed decision. This role currently has a base pay range of 70-90K per annum based on a candidate’s experience and qualifications. We will review individual salary expectations and **weight salary commensurate with experience.

At Mejuri, we use AI-assisted tools as part of our recruitment process to help screen and assess candidate applications. All hiring decisions involve human review, and our Talent team remains responsible for evaluating candidates and making final decisions throughout the process.

#LI-Onsite

At Mejuri our success is driven by a strong commitment to our Purpose and Values. They’re the foundation of our operations, defining how we show up, solve problems, and accomplish incredible things—together.

Our strength comes from each team member’s dedication to embracing and embodying these Values daily. This isn’t merely a duty; it’s a passion that defines us. They guide us in providing extraordinary experiences for our customers and fostering an innovative environment. Success, for us, means living our values relentlessly.

Our values are:

RAISE THE BAR | Stay Curious, Share/Seek Feedback, and Strive for Excellence

CUSTOMER OBSESSED | Get close to the customer and prioritize them in our decisions

EMPOWERED OWNERS | Treat the company like your own, take initiative

FIND A WAY | Seek simple, creative solutions, and act fast

DRIVE RESULTS | Be clear on your goals and be relentless in achieving them

TEAM FIRST | Value team success over personal ego

Accommodation / Accessibility:

Mejuri does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws.

Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Since 2015, Mejuri has reimagined what fine jewelry can be in a modern world—shifting it from a traditional gift to to a personal choice rooted in self-expression.

Founded by third-generation jeweller Noura Sakkijha, the brand was built on a simple idea: fine jewelry shouldn’t require a special occasion, and it should never come with guilt. It’s about celebrating yourself—your style, your life, your everyday.

Mejuri meets customers where they are—online, in app, and through a growing global retail footprint of 58+ stores worldwide. Mejuri is also deeply committed to doing things the right way, with responsible sourcing, sustainable practices, and philanthropic initiatives that reflect our values and long-term vision.

Job Overview

As a Senior Allocation Analyst at Mejuri, you will be part of the Merchandising team and act as the analytical engine of retail allocation.  As we sharpen how every door in our retail fleet performs, this role will impact how we turn door-level performance into the allocation and replenishment decisions that put the right product, in the right depth, in the right store, at the right time. You will directly impact how we drive sell-through, protect margin, and optimizing our fleet

You are an analytical self-starter who is equally at home in the data and in the room with Merchandising and Planning. You don’t just move units — you build the intelligence layer that explains how every door behaves, and you use it to make sharper allocation calls than the fleet has ever made before.

What you’ll do

Door & fleet analysis (the core of the role)

• Own door-level performance analysis — sell-through, rate of sale, weeks of supply, in-stock rate, and productivity at the style, category, and price-point level.
• Build and maintain store clusters and tiers, grouping doors by volume, productivity, capacity, and customer profile — and running the seasonal cluster resets as the fleet and assortment evolve.
• Build the door- and cluster-level view of assortment productivity — where breadth and depth are over- or under-performing — and bring it forward to inform Merchandising’s assortment decisions; own the model-stock and depth targets that flow from the assortments they set.
• Diagnose out-of-stocks and lost sales by door and variant, quantifying demand-transfer and revenue impact to prioritize replenishment and rebalancing.
• Develop comparable-door and comparable-style analysis to benchmark performance and to seed demand for new products and doors.

Allocation & replenishment

• Allocate and replenish product to doors against assortments, cluster minimums, capacity, and financial targets — balancing service level against excess and aged-inventory risk, and running rebalancing and inter-store transfers to chase demand.
• Own initial allocation for newness and new store openings — run the weekly product-drop cadence (allocation, store assortment updates, launch tracking), seed new launches with test-and-scale reads that inform go-forward depth, set opening buys for new doors as the fleet scales, and flag launch and delay risk early.
• Manage clearance and lifecycle transitions — size end-of-life and clearance exits by door, and execute material and assortment transitions and discontinued-product flow-through.
• Balance inventory across channels and nodes — store, web, DC, and concessions — positioning and pooling stock to protect service levels and enable fulfillment flexibility such as ship-from-store.
• Allocate across global markets — factoring the different lead times, sales shapes, and market requirements of the US, Canada, UK, and AU into depth and flow by region.
• Optimize depth, pack, and size-curve logic by door (e.g., ring sizes, chain lengths) so the right quantities and variants land where they sell.

Data, insight & process

• Own allocation master data and system hygiene — maintaining min/safety stock, model stock, and cluster assortments, and safeguarding the integrity of weekly reconciliation and file uploads.
• Build and refine scalable allocation, replenishment, and reporting tools and models that grow with the business.
• Close the loop with post-season hindsight — reviewing allocation effectiveness (did depth land where it sold? forecast vs. actual by cluster and door?) and feeding the read back into the next allocation cycle.
• Bring the allocation point of view to cross-functional forums — S&OP, business reviews, pre-season planning, and launch-risk and new-store-opening meetings — so inventory positioning shapes decisions rather than just executing after them.
• Translate analysis into clear, headline-first recommendations for Merchandising, Planning, and Retail leadership, and run the weekly reporting rhythm that shows where the fleet is winning, where it’s leaking, and what to do about it.
• Set the standard for how allocation gets done — codify best practices, level up the tools and process, and act as the go-to resource who mentors and unblocks more junior planners, even without direct reports.

What you’ll bring to the team

• 4–6 years of experience in retail allocation, merchandise planning, or inventory analysis in a fast-paced, multi-door retail environment.
• A strong analytical toolkit: advanced Excel (comfortable building models from scratch), plus fluency — or a fast ramp — in SQL and BI tools (Looker, Tableau, Omni, or similar) to work with door-level data at scale.
• Comfort with — or genuine curiosity about — AI-assisted modeling and analytics tools, and a drive to use them to build smarter, faster allocation logic.
• A diagnostic mindset — you’re drawn to the why behind door performance, not just the mechanics of pushing units.
• Command of the metrics allocation drives — sell-through, rate of sale, weeks of supply, in-stock %, and inventory turn.
• Strong attention to data integrity — comfortable owning the master data, parameters, and files the allocation engine runs on.
• Clear, confident communication — you can make a data story land with senior stakeholders without the jargon.
• Comfort creating structure and process.
• Enthusiasm for Mejuri’s mission; experience in retail, fashion, or jewelry is a strong asset.
• We’re building an AI-fluent organization. We welcome candidates at all stages of their AI journey — what matters is curiosity, a willingness to learn, and an openness to working alongside AI tools as part of how we do our best work.

Benefits at Mejuri:

• A minimum of four weeks vacation, plus personal days and three religious/cultural observance days.
• A hybrid work model for all corporate roles
• ‘Mejuri Passport’ which allows employees who meet specific criteria to work in other locations for one month per year.
• Comprehensive medical and dental benefits, including mental health coverage, and generous personal and sick days for our full-time employees. We also offer bereavement leave, including miscarriage and stillbirth support.
• Parental leave salary top-up of up to 80%, as well as a personalized return-to-work transition and accommodation plan for full-time employees.
• A generous product discount!

Please note that these benefits apply to full-time employees.

Location

Toronto, Ontario

60 Bloor Street W

Hybrid; 3 days in office 2 days remote

At Mejuri we embrace a hybrid working environment and support our corporate employees to be successful whether they are at home or in the office. The primary purpose of our offices is to drive collaboration and deepen relationships with one another.This position requires in office work 3 days a week and remote work 2 days a week. Our office is located at 60 Bloor Street W, Toronto.

Salary 70K-90K

Looking for the perfect next opportunity is a big decision. Mejuri recognizes the importance of pay transparency when it comes to salary ranges as it empowers individuals through the hiring process and supports them in making an informed decision. This role currently has a base pay range of 70-90K per annum based on a candidate’s experience and qualifications. We will review individual salary expectations and **weight salary commensurate with experience.

At Mejuri, we use AI-assisted tools as part of our recruitment process to help screen and assess candidate applications. All hiring decisions involve human review, and our Talent team remains responsible for evaluating candidates and making final decisions throughout the process.

#LI-Onsite

At Mejuri our success is driven by a strong commitment to our Purpose and Values. They’re the foundation of our operations, defining how we show up, solve problems, and accomplish incredible things—together.

Our strength comes from each team member’s dedication to embracing and embodying these Values daily. This isn’t merely a duty; it’s a passion that defines us. They guide us in providing extraordinary experiences for our customers and fostering an innovative environment. Success, for us, means living our values relentlessly.

Our values are:

RAISE THE BAR | Stay Curious, Share/Seek Feedback, and Strive for Excellence

CUSTOMER OBSESSED | Get close to the customer and prioritize them in our decisions

EMPOWERED OWNERS | Treat the company like your own, take initiative

FIND A WAY | Seek simple, creative solutions, and act fast

DRIVE RESULTS | Be clear on your goals and be relentless in achieving them

TEAM FIRST | Value team success over personal ego

Accommodation / Accessibility:

Mejuri does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws.

Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.