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.

At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we’re growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong.

GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet.

The application window will be open until at least July 19th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

Area Description

GFiber’s mission is to deliver abundant internet on networks that are always fast and always open with products that are easy to understand and clearly priced. We believe customers deserve a better internet experience and everything we do is focused on providing just that. On our team, you’ll work in an environment that’s redefining the status quo in the Internet industry. Within the Data Community team, you’ll do everything from data engineering, scripting, visuals, insights, data science, and more.

Role Description

As a Data Analytics Engineer for GFiber, you will be working with multiple stakeholders across the organization to provide quantitative support, define metric rules and logic, deliver useful tables and reports, model business scenarios, and solve a wide range of business problems. To do so, you will be expected to create new pipelines from scratch, merging broad financial and ERP data sets together into a cohesive technical infrastructure. You will be responsible for engineering foundational table resources using Google Cloud Platform (GCP): BigQuery, Dataform, LookML, Dataplex, etc. The pipelines, metrics, tools, and analyses you develop will be used by our leaders to make strategic decisions and serve as a key input in decision-making.

In this role, you’ll:

• Create foundational pipelines and data extractions with large data sets using SQL and other GCP technologies demonstrating comfort with software-engineering-level best practices and approaches to data pipelines and management.
• Work with large, complex data sets to solve difficult analysis problems, assess the impact of initiatives, and create on-going tooling/resources to run the business.
• Collaborate with cross-functional partners to understand business context for solutions, analysis, and tooling needed to become the single point of contact for all financial data engineering questions.
• Undertake specific tasks, bugs, and maintenance work. Additionally, own complex projects, proving mastery through accuracy, timeliness, and volume of work, with minimal guidance.

At a minimum we’d like you to have:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in analytics, data science, and/or computer science engineering.
• 5 Years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and Extract, Transform, Load (ETL).
• Expertise using GCP tools.

It’s preferred if you have:

• Experience in HTML, Python, or other coding languages.
• Experience using data to identify opportunities for business improvement and defining/measuring the success of those initiatives.
• Ability to use written and verbal communication to build relationships with cross-functional partners and conduct presentations for stakeholders, including executive leadership.
• Ability to engage with PMO teams to prioritize, provide level of effort estimations, manage bug queues and bandwidth.

The US base salary range for this full-time position is between $105,600 - $154,900 + bonus + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

GFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google’s Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC’s “Know your rights: workplace discrimination is illegal” (PDF).

It’s important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing ouraccommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.

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.

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 Wednesday, July 22nd, 2026

Intro to Position

You 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.

What your role is: As the Insights Analyst, you will support data-informed decision making for NPR’s new audience-centric app. You will be the main point of contact to make measurement plans for, implement, and QC analytics tags on NPR’s owned and operated platforms.  Your responsibilities also include extracting insights from complex data sets, creating visualizations, and managing relationships with NPR teams across the organization. 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. Your expertise will be used to help us build a new, leaner, audience-centric, and data-driven app that serves NPR and partnering stations across multi-modal formats.  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 Manager, Product.

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

Responsibilities

• This role will support product analytics needs for the NPR App, site, and video, and work closely with the Insights Sr Manager of product analytics.
• Develop and manage measurement plans for NPR’s owned and operated platforms using Google Tag Manager, and QCing tags after implementation
• Independently write SQL queries to provide performance analytics across app, video, and website datasets
• Maintain primary relationships with stakeholders within Product to support daily analytics needs
• Partner closely with Data Products to consult on App dashboard and tool design based on stakeholder needs
• Partner with  a sustainable system of self-service for app analytics
• Support diagnosing and resolving data issues
• Streamline scheduled queries, data summaries, and other infrastructure
• Write guides and documentation for app, video, and website  analytics

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

• 2+ years demonstrated expertise in SQL and databases
• Experience in BigQuery and/or Dataform
• 2+ years demonstrated expertise in Google Firebase data and app analytics
• Proven expertise with GA4 or similar large, raw datasets of digital behavior.
• 2+ years experience making measurement plans for and QCing tags using Google Tag Manager implementation standards
• Experience in Looker
• Proficiency in Excel or Google Sheets, including writing complex formulas, validating data, and automated reporting.
• Understanding of the life cycle of data tracking within videos, websites, and/or apps from tagging to analysis to inform measurement plans based on practical usage.
• Proven experience working with technical teams in a successful cross-department collaborative environment, in particular creating and executing measurement plans for digital products
• Proven expertise collaborating with team members and stakeholders to assess needs for dashboards and translating those needs into data infrastructure plans.
• Ability to initiate work independently with little supervision, as well as in a collaborative team environment.
• Self-starter with the ability to work in a constantly changing environment.
• Eagerness 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 that require cross-functional collaboration and building partnerships to solve them

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 $91,276.23 to $98,294.51 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

$91,276.23—$98,294.51 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.

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.

Location:Work from home (Pennsylvania)Shift:Days (United States of America)Scheduled Weekly Hours:40Worker Type:RegularExemption Status:YesJob Summary:The Associate BI Developer will gain experience with reporting tools as well as the process to develop clear, concise, and accurate reports and dashboards.

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.

We are looking for an insights analyst to join our team.

More than 135 years ago, we started with core values that never go out of style: listen, learn and help businesses and individuals reach their goals. These core values shape our culture, and we were recently Great Place to Work Certified because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the Best 100 Banks in America for the ninth consecutive year.

With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations.

As a Credit Analyst, you play a key role in helping the bank make sound, responsible lending decisions that support our clients and communities. Your analysis and insights help balance growth with risk, ensuring every credit decision is thoughtful, compliant, and well supported. This is a great opportunity to deepen your financial expertise while working alongside experienced banking professionals.

In this role you’ll

• Investigate credit and financial information for prospective and existing commercial clients.
• Analyze business and personal financial statements, tax returns, cash flow, collateral, and sources of repayment.
• Prepare credit approval packages, spreadsheets, summaries, and written analyses for loan decision makers.
• Support new, renewed, and existing loan requests ranging from simple to moderately complex.
• Ensure all work complies with internal policies, procedures, security requirements, and applicable regulations.

What we’re looking for

• You hold a Bachelor’s degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required).
• An equivalent combination of education and experience can be considered in lieu of a degree.
• You bring two or more years of related credit or financial analysis experience (Required).

What helps you shine

• You’re comfortable analyzing financial statements, tax returns, and cash flow with a strong grasp of basic accounting principles.
• You bring solid analytical thinking and sound judgment to every credit investigation.
• You can manage high volumes of work accurately while adapting to shifting priorities in a deadline-driven environment.
• You communicate clearly and professionally, both in writing and in conversation.
• You understand federal and state regulations related to commercial lending.
• You are proficient in Excel, Word, and other applicable systems.

Travel

• 0%

Our Company Values

• Do the right thing
• Mutual respect
• Teamwork
• Accountability

What Our Team Says

“I have the opportunity to learn and grow every day in my current role. I love the work life balance, knowing that we work hard, and strive for high performance but we are celebrated.”

Compensation & Benefits

• Targeted starting salary range (based on experience): $30.34- 39.98
• Annual incentive potential
• Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
• Paid vacation time, sick time and 11 company paid holidays
• 401k (with up to 4% match)
• Tuition reimbursement

Review Banner’s employee benefits at: Employee Benefits | Banner Bank

Please take time to review Banner Bank’s Consent & Privacy notice before applying.

Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability or protected veteran status.

Banner Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings. Resumes submitted to any Banner Bank employee by a third-party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Banner Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.

At a leading IT-focused organization, we believe every detail matters and every team member plays a vital role in creating meaningful impact. We are committed to building a supportive workplace where motivated individuals can grow professionally, develop valuable skills, and build long-term careers in the digital industry.

This opportunity is ideal for dependable, detail-oriented candidates seeking a stable remote position with training, growth potential, and a collaborative work environment.

Why This Opportunity Stands Out

Competitive starting compensation

Paid training and guided onboarding process

Health, dental, and vision benefits for eligible full-time employees

Paid holidays and time off

Flexible scheduling options to support work-life balance

Clear advancement opportunities and long-term career development

Supportive and team-oriented work culture

Our Commitment

We are dedicated to creating a fair, respectful, and inclusive hiring experience for every applicant. Candidate privacy, transparency, and equal opportunity remain at the core of our values. We proudly work with organizations that share these principles and are committed to maintaining a safe and professional recruitment environment for all.

If you are looking for an opportunity to grow your career, develop professional skills, and become part of a supportive team, we encourage you to apply today.

#RemoteWork #DataEntry #CareerOpportunity #ITJobs #WorkFromHome #HiringNow #EntryLevelJobs

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Our mission: e liminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We’re building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Reporting to the VP, Revenue Operations and partnering closely with our Systems and Strategy & Operations teams, the Director, Revenue Analytics & AI Transformation will serve as the semantic layer of our AI-native RevOps organization. This role will be responsible for building the unified data models and AI transformation strategy that power decisions from individual contributors to the executive team. This is a full-time, fully remote role leading a small, highly technical team as a hands-on player-coach. NYC is preferred for this role, but we are open to considering remote candidates. Travel is limited, with occasional trips (approximately quarterly) for team and company offsites.

What you’ll do:

• Architect and own the unified semantic and data layer that underpins Revenue Operations — the single source of truth connecting Sales, Marketing, Customer Success, and Finance data.
• Define and drive the AI transformation strategy for Revenue Operations, identifying where AI and automation can meaningfully improve GTM efficiency, forecasting, and decision-making.
• Build and lead a small, highly technical team of data/analytics engineers, operating as a true player-coach who still writes code and ships models personally.
• Design and maintain core data models, pipelines, and analytics products that deliver actionable insight across the revenue organization — from individual contributors to executives.
• Partner closely with the Systems and Strategy & Operations teams to ensure data architecture, tooling, and process are tightly aligned across RevOps.
• Evaluate, pilot, and deploy AI tools and vendors, staying ahead of the fast-moving AI landscape and translating emerging capabilities into practical, high-value use cases.
• Establish data governance, quality standards, and documentation practices that scale as the organization grows.
• Build executive-ready dashboards and analyses that inform revenue strategy and company-wide reporting.
• Champion a “build fast, iterate faster” culture — rapidly prototyping and deploying solutions rather than waiting for a long, perfect build cycle.
• Serve as a thought partner to Revenue leadership on how AI and modern data infrastructure can reshape the future of go-to-market operations.

What success looks like:

• Reduction in time-to-insight for revenue questions, measured by cycle time from request to delivered analysis.
• Adoption of unified data models and dashboards across Sales, Marketing, and Customer Success teams.
• Number of AI-driven use cases successfully piloted and deployed into production each quarter.
• Improved forecast accuracy and reporting consistency across the revenue funnel.
• Percentage of core revenue reporting migrated off manual/spreadsheet-based processes onto the unified data layer.

What you’ll bring:

• 10+ years of experience in data engineering, analytics engineering, or revenue/GTM analytics, including experience leading or building technical teams.
• Deep hands-on expertise in data engineering and analytics engineering (e.g., SQL, dbt, modern data warehousing, ETL/ELT pipelines).
• Proven experience designing and owning semantic and data models that serve multiple stakeholders, from analytics and BI to AI use cases.
• Demonstrated experience leading AI adoption or AI-enabled transformation within a GTM or Revenue organization.
• Strong, current knowledge of the AI vendor, tooling, and trends landscape, with the judgment to separate hype from real value.
• A track record as a “player-coach” — someone who has built and led a small team while remaining deeply hands-on.
• Experience partnering closely with Revenue/GTM systems and strategy & operations functions.
• Excellent communication skills, with the ability to translate technical work into business impact for individual contributors and executives alike.
• A scrappy, fast-moving builder mentality — comfortable shipping v1 solutions quickly and iterating.

Nice to have:

• Experience with B2B2C customers
• Experience in a high-growth SaaS or healthtech environment.
• Familiarity with modern AI/ML tooling (LLM-based agents, copilots, automation platforms) applied to go-to-market use cases.
• Hands-on experience with tools such as Salesforce, Clay, Snowflake or BigQuery, dbt, Looker or Tableau, and Python
• Prior experience at a company undergoing significant data infrastructure modernization.

The target base salary range for this position is $196,000 - $247,940 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

• Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• We offer competitive paid time off policies including vacation, sick leave and company holidays.
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
• Access to Noom , a weight management program—based in psychology, that’s tailored to your unique needs and goals.
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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.

ABOUT ALU

ALU provides higher education for a higher purpose. Our students declare missions, not majors.They develop the real-world skills to take on the world’s most pressing challenges. And they take ownership of their learning from day one through our peer and student-led approach – because ALU believes in the power and agency of young people to start shaping the future right now. Together with a world-class faculty and staff, our students are igniting a ripple of positive impact across Africa and the world.

We are dedicated to fostering an open yet secure environment, balancing the safety of students, staff, and visitors with respect for individual rights, and safeguarding responsibilities.

HOW WE WORK

The ALU Team works in starkly different ways to traditional academic bureaucracies. We approach education from first principles, empower individuals to design, test, and implement creative new ideas, and work closely together to craft transformative learning experiences. We are deeply passionate about our students and excited by the challenge of building something entirely new.

The African Leadership University is committed to ensuring the safety and Well-being of all students under our care. As part of this commitment , we have a comprehensive safeguarding policy in place , which outlines our Zero-tolerance approach to any violation of safeguarding.

ABOUT THE ROLE

ALU is working to optimize its tech ecosystem and transition from fragmented data sources to a unified, scalable Business Intelligence platform. Reporting to the Senior Manager for Data, the Business Intelligence (BI) Lead will be a key contributor to this technical and operational transformation. This is a hands-on, systems-building role focused on execution rather than basic dashboarding. You will directly oversee the end-to-end implementation and daily operational stability of our data warehouse ecosystem and downstream presentation layers.

In this role, you will be the bridge between technical analytics infrastructure and day-to-day organizational operations. Working alongside platform engineers, data specialists, and data owners, you will be responsible for architecting the metrics frameworks, driving data cataloging, and partnering with engineering to define the robust underlying data pipelines necessary to democratize data across ALU. Your ultimate mission is operational: to establish a self-sustaining, self-service data environment that removes technical bottlenecks and empowers teams across the university with independent, reliable, and frictionless access to actionable data.

RESPONSIBILITIES

• Data warehouse architecture and BI delivery: Project manage and oversee the implementation and maintenance of the data warehouse ecosystem and high-impact, user-friendly dashboard suites (using viz platforms like PowerBI, Apache Superset, AWS Quicksight) tailored for departments across the organization.
• Data Lineage & Cataloging: Implement and maintain enterprise data catalogs (e.g., Atlan, Collibra, or open-source alternatives) to map data lineage from source systems to the final BI layer, ensuring complete transparency.
• Metric Standardization: Partner with cross-functional leadership to establish and maintain a centralized catalog of standardized corporate KPIs, ensuring consistent calculations across all institutional reports.
• Data Governance & Quality Liaison: Collaborate with the Platform Engineering team and other relevant stakeholders to ensure data models in our data warehouse accurately reflect complex business logic and business definitions.
• Data Quality Assurance: Implement automated data profiling and testing frameworks to catch upstream ingestion anomalies before they impact downstream BI deliverables.
• Stakeholder Enablement & Culture: Act as the primary champion for data literacy across ALU. Translate complex analytical concepts for non-technical teams and design “Train-the-Trainer” frameworks to maximize self-service data tool adoption.
• Responsible Use of AI: Leverage modern AI-assisted workflows to accelerate report generation, automate report documentation, and extract advanced semantic insights from structured data.
• Other duties as defined by the manager.

REQUIREMENTS

• BI & Analytics Systems Building: Proven track record of architecting and maintaining enterprise-grade data warehouse and analytics environments that drive operational agility and self-service independent data use.
• Hands-on Data Stack Experience: Practical, hands-on proficiency with cloud data warehousing concepts (AWS Redshift preferred), advanced SQL, and data transformation/modeling frameworks.
• Advanced Visualization Tooling: Expert-level mastery of visualization platforms (such as PowerBI, Apache Superset, AWS Quicksight) and strong capability in translating unstructured business requests into clean interface wireframes.
• Operational & Stakeholder Communication: Superior consultative and interpersonal skills. Ability to collaborate smoothly with cross-functional teams, interrogate ambiguous operational data needs, and translate complex technical architecture into accessible frameworks for non-technical users.
• Growth & Mission Mindset: Thrives in a highly dynamic, fast-paced setting; comfortable building robust frameworks within evolving systems rather than static corporate structures.

QUALIFICATIONS

• Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Data Analytics, Computer Science, Statistics, Business Administration) or equivalent practical experience.
• Experience: Minimum of 5–7 years of experience in a business intelligence or data analytics function, with at least 2 years in a clear team leadership or project ownership role.
• SaaS Ecosystem Familiarity: Experience building BI layers directly on top of enterprise applications like Salesforce CRM/SIS, Oracle NetSuite ERP, and Canvas LMS is highly desirable.
• Localization Expertise: Familiarity with global and regional data privacy standards (e.g., GDPR or local Rwandan/Mauritian data protection laws) is a significant advantage.

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.

At FabScenes, we are starting a small workshop to manufacture wall mounted art but have not yet selected a country to invest in.

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.

About V2

V2 Strategic Advisors is where velocity meets voltage - a boutique management and technology consulting firm that has spent 20+ years transforming media and advertising sales organizations. We’re the firm that global and high-growth organizations call when they need more than a strategy deck - they need results.

Our edge? We offer a rare blend of management consulting, data, analytics, AI, and systems integration - all under one roof, powered by best-in-class platforms including Salesforce, Databricks, Snowflake, HubSpot, and leading AI platforms like Claude and Gemini. We understand the nuances of our clients’ most complex challenges and deliver solutions that move the needle.

We’re a lean, elite team of consultants, technical architects, and data experts who operate with the rigor of global management consulting and systems integration consultancies and the energy and agility of a startup. We approach every day with a sense of purpose to deliver with excellence, grow our capabilities, and find fulfillment in what we do. If that sounds like your kind of environment, keep reading.

The Opportunity

V2’s data and analytics practice is growing, and we’re looking for a well-rounded, platform-diverse technical consultant to help us accelerate that growth. In this role, you’ll be cross-functionally aligned to multiple client engagements, leading and supporting the full delivery lifecycle from technical discovery through design, build, testing, deployment, and post-go-live support.

You’ll partner closely with Delivery leadership to drive internal and external conversations, build consensus around technical designs, translate business requirements into scalable data architectures, and present recommendations directly to V2 clients. This is a client-facing role that demands both engineering depth and the communication skills to make complex ideas land with senior stakeholders.

You bring strong opinions about how data should be structured, moved, and activated, and you know how to build solutions that serve real business outcomes. You thrive at the intersection of data engineering, advanced analytics, and applied AI, and you’re energized by fast-paced, high-expectations consulting environments. If you want to build something that matters with people who operate at a high standard, keep reading.

What you’ll focus on

Data engineering & pipeline development

• Design and build scalable data pipelines, transformation workflows, and ingestion frameworks across client environments using Python and SQL.

• Architect and implement data solutions on Databricks, including Delta Lake, Unity Catalog, and Lakeflow, and integrate with enterprise data warehousing platforms.

• Drive best practices for data modeling, pipeline reliability, performance tuning, and cost governance across engagements.

• Support data migration, integration, and platform modernization workstreams for media and advertising sales clients.

Analytics & business intelligence

• Partner with business stakeholders to translate complex data and reporting requirements into reliable, performant analytics solutions.

• Design data models that serve both operational reporting and strategic analytics use cases across prospect-to-cash workflows.

• Support BI tool integration and dashboard development, connecting data platforms to tools such as Tableau, Power BI, or Looker.

• Apply process mapping, measurement strategy, and analytical frameworks to identify optimization opportunities and deliver insight to clients.

AI integration & applied intelligence

• Advise clients on AI strategy and help identify where applied intelligence, including LLMs, RAG pipelines, and intelligent agents, can deliver meaningful business value.

• Build and support production AI solutions using platforms including Databricks Mosaic AI, Claude, Gemini, and OpenAI APIs.

• Stay current on emerging AI and ML capabilities and bring those patterns to client engagements and internal practice development proactively.

• Apply machine learning concepts to analytics workstreams where engagements call for it.

What you bring

Engineering depth. 5+ years of hands-on Python and SQL experience in production data engineering or analytics environments. You’ve built pipelines, governed data platforms, and shipped work that runs reliably at scale.

Platform fluency. Demonstrated experience with Databricks, Snowflake, or Google data warehousing platforms.  You don’t need to be an expert in every tool, but you need to be genuinely strong in your stack and fast to ramp on adjacent platforms.

AI and ML literacy. Hands-on experience working with AI tooling, Claude, Gemini, Cursor, or similar, and a working understanding of machine learning concepts. Experience building or integrating LLM-powered solutions is a meaningful differentiator.

Consulting instincts. 5+ years of consulting or technical delivery experience. You understand how engagements work, you can scope and structure a workstream, and you know how to build trust with senior client stakeholders under pressure.

Industry context. Meaningful exposure to media, advertising sales, or adjacent industries. You understand the commercial dynamics, the way these organizations sell, operate, and measure performance, and you bring that context into your technical recommendations.

Communication that lands. Strong facilitation, documentation, and presentation skills. You can lead a technical architecture discussion in the morning and present findings to a C-suite audience in the afternoon.

Broad platform awareness. Familiarity with enterprise CRM, middle-office cloud platforms, and adjacent data technologies is a plus. Exposure to Salesforce or advertising technology platforms is welcome but not required.

Cultural alignment. You operate with speed and agility, thriving in fast-paced, entrepreneurial environments. You hold yourself to a high standard — and you raise the bar for the people around you.

Why V2?

Because you won’t find another firm doing exactly what we do, and you won’t find another role like this one. You’ll be close to the action, building something real, with people who care deeply about doing exceptional work. V2 was built on the idea that consulting could be done better. We’re still proving it every day.

If you’re ready to bring the voltage, we want to hear from you.

Apply at: v2sa.com/careers

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.

Company Description

SmartRecruiters powers Superhuman Hiring™ by freeing talent acquisition teams from legacy applicant tracking software and equipping them with next-gen AI functionality. SmartRecruiters’ platform serves as the hiring operating system for 4,000 customers, including Bosch, LinkedIn, and Visa. Companies with business-critical hiring needs turn to SmartRecruiters for best-of-breed functionality, world-class support, and a robust ecosystem of third-party applications and service providers.

We are a values-driven, globally focused tech employer with strong financial backing. By solving the biggest problems, we focus our efforts on what matters most, driving real impact for our organization and customers. For the past three years, we’ve been recognized as a strategic leader in recruitment technology by Fosway Industry Analysts. In 2023 and 2024, we received prestigious awards from Comparably for being a top company for Women, Perks, and Benefits, Work-Life Balance, Happiness, Compensation, Diversity, Culture, and Company Outlook.

At our core, we commit and dig deep, embracing challenges with grit, curiosity, and a drive for excellence. We foster a collaborative and inclusive work environment, where trust and determination bring us together - because together, we will win. With competitive salaries, generous equity, and strong internal mobility, we ensure that high performers have meaningful growth opportunities. Our remote-friendly culture is welcoming, respectful, and built to empower every team member to thrive.

Job Description

Contract Type: 12-Month Fixed-Term Contract

We’re looking for a technical engineer to support our customers’ needs in an area of data migrations, integrations, custom reports, and automating manual processes for our teams. Our team stays ahead of challenging tasks of automating our current processes and helping our implementation team to automate theirs.

If you are looking for the place where you can have a real impact on the shape of business solutions, you are curious and like learning new, modern approaches and constantly optimizing processes, you have just found the right place, apply now!

The main goal of our Team is to make our customers happy and successful. We process data for them and provide data directly from public / internal APIs or databases to them or other teams.

What you will do:

• Perform data imports from various sources using Talend ETL tool, Python scripts and Public / Private APIs
• Perform data extracts and data dumps
• Build ability to create demo environments
• Build data import applications
• Build integrations between different, external web applications
• Improve and optimize data services processes
• Work closely with the Professional Services team based in San Francisco to address customers’ requests
• Become an expert in your area of interest and evangelize your colleagues

Qualifications

Qualifications

At least 2 years of experience with ETL tools (Talend preferred)

• At least 1 years of experience in professional programming (Python: pandas, requests, fastAPI, flask)
• Experience with databases (SQL, NoSQL)
• Experience with Git/Github, http(s) protocol, web applications security
• Experience in building integrations between different web applications
• Knowledge of different aspects of building RESTful web services
• Team player
• Fast learner and a passion for technology

Additional Information

SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. your information will be kept confidential according to EEO guidelines.