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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.

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 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.

THE BIGGEST NAME IN HOME. THE BOLDEST TEAM IN E-COMMERCE.

Ashley Digital is the e-commerce engine behind Ashley Furniture Industries — one of the most recognized home brands in the world. As the world’s largest manufacturer of home furnishings and the largest furniture store brand in North America, Ashley is in a category unto itself. Our team sits at the intersection of world-class retail and digital innovation, driving the e-commerce experience for millions of customers across every platform and touchpoint. If you’ve shopped online for a mattress in the last decade, there’s a good chance you’ve already experienced our award-winning Nectar Sleep and DreamCloud. We’re a fast-moving, highly collaborative team operating at a transformational moment, and we’re charged with shaping how people discover, explore, and buy home furnishings. Our expertise spans data science, performance marketing, product, and creative, and our work reaches millions of customers every day. It’s a rare combination: the energy of a tech company, the stability of an industry leader, and the opportunity to build something truly significant. If you’re energized by transformation, collaboration, and meaningful impact at scale, Ashley Digital is where ambition meets opportunity.

To be considered for this remote opportunity, you must reside and be authorized to work within the United States.

About the Role:

We’re looking for a highly strategic and analytical Business Analytics Director, Retail to join the Ashley Digital data team. This role sits at the intersection of data, retail strategy, market intelligence, and business decision-making. This is a high-impact role for someone who enjoys tackling complex business challenges and driving meaningful change through analysis, strategic recommendations, and cross-functional influence. The ideal candidate combines strong analytical rigor with strategic thinking and is equally comfortable building analyses, conducting market research, influencing stakeholders, and shaping long-term business strategy.

What You’ll Be Doing:

• Analyze retail performance across stores, regions, customer segments, and channels to identify growth opportunities and operational inefficiencies.
• Develop strategic recommendations around store footprint optimization, expansion opportunities, market selection, cannibalization, retail vs. wholesale/channel strategy, pricing, and promotional effectiveness.
• Conduct competitive and market intelligence research, including competitor expansion, pricing and assortment strategies, local market dynamics, and emerging retail trends.
• Evaluate the optimal balance between digital and physical retail, including the impact of stores on customer acquisition, market penetration, fulfillment economics, and overall business performance.
• Lead complex analytical projects from problem definition through recommendation and execution support.
• Partner closely with marketing, merchandising, finance, operations, and executive leadership to support strategic planning and key business decisions.
• Identify data gaps and help shape the analytical foundations required to support more effective decision-making.
• Build analytical frameworks, business cases, and executive-ready presentations that influence strategic direction.
• Drive cross-functional initiatives and help move critical business priorities forward through data-driven insights and strong stakeholder management.
• Lead the evaluation of emerging retail technologies, analytics solutions, and data partnerships to improve customer experience, store performance, and revenue growth.

The responsibilities described above are not exhaustive. You may be asked, from time to time and as reasonably required by business needs, to perform other duties consistent with your skills and role, including work for or on behalf of our related entities. This job description does not constitute a contract of employment and may be modified at any time, subject to applicable law.

Skills & Qualifications:

• 7-10 years of experience in analytics, business intelligence, data-driven strategy, or related fields, with a proven track record of translating complex data into business recommendations.
• A Bachelor’s Degree in Business Analytics, Data Analytics or related field
• Exceptional analytical and problem-solving skills, with the ability to structure ambiguous business questions into actionable analyses and recommendations.
• Experience working directly with large datasets and analytical tools to generate insights and support decision-making.
• Strong understanding of retail, e-commerce, omnichannel businesses, or consumer-facing industries.
• Highly proactive, hypothesis-driven, and comfortable operating independently in a fast-paced environment.
• Strong executive communication skills with experience presenting insights and recommendations to senior leaders.
• Ability to influence without authority and drive alignment across cross-functional teams.
• Deep curiosity about consumer behavior, market dynamics, and competitive strategy.
• Experience at firms such as McKinsey, Bain, BCG, or in-house strategy and analytics organizations is a strong plus.

What We Offer (subject to eligibility requirements):

• Remote-first workplace (since 2016!)
• Competitive Salary
• Health, Vision & Dental Insurance
• HSA company contributions
• 401K with company match component
• Take what you need Paid Time Off
• Wellness benefits
• WFH office and cell phone/internet stipend
• A FREE MATTRESS plus an awesome Friends and Family discount!

If you reside in a state or location where pay transparency laws or regulations have been adopted please read the following: The salary for this position is $135,000 - $165,000. We carefully consider a wide range of compensation factors, including your background, skills, qualifications, experience, geographic location and other non-discriminatory factors. These considerations can cause your compensation to vary. [Additionally, this role might be eligible for discretionary bonuses or commission payments]. For more information regarding the pay range applicable for this position, please contact us at People@residenthome.com

Ashley Digital is a privately-held company headquartered in Tampa, FL with offices in New York City, London and Tel Aviv.  Learn more at: https://www.residenthome.com

Ashley Digital is committed to a policy of equal employment opportunity, and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ashley Digital is proud to be a remote-first company and maintains policies to support our unique flexible work location culture. However, there are a few important parameters to our work-from-home-culture: While we currently employ Residents in over 30 US states and 3 countries, if you are hired, you may be restricted to working from the state or country in which you currently reside, unless the state or country to which you plan to relocate is one in which we already operate and no other restrictions apply to the role. As with anything, we encourage an open dialogue about your current location and potential desired relocation during the interview process and upon hire, if applicable, and the extent any other restrictions apply to a particular role. We reserve the right to deny relocation requests post-hire for any reason.

#LI-REMOTE

Ashley Digital participates in E-Verify.

ABOUT THE ROLE:

We’re looking for a Director of Data & Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy & Data Officer, you’ll build and manage a data organization that powers product development, personalization, experimentation, and business intelligence. You’ll have an AI-first mentality in proactively seeking new and innovative ways to embed AI in our data organization.

If you’re looking for the opportunity to build a modern data organization from the ground up at a high-growth consumer startup — this may be the perfect role for you.

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify.

WHAT YOU’LL DO:

• Set the vision and strategy for Data Analytics and Data Science
• Partner with Data Engineering to modernize our data infrastructure
• Own the data platform, including pipelines, warehousing, modeling, governance, observability, and reliability
• Be the AI thought leader, finding new and innovative ways to leverage AI to improve the business
• Develop predictive and machine learning models that power personalization, fraud detection, forecasting, and user behavior prediction
• Partner cross-functionally with Product, Engineering, Marketing, Finance, Operations, and Compliance to drive strategy and decision-making
• Create dashboards and analytical tools to empower self-service and automate insights
• Create a world-class experimentation program, including statistical rigor, tools, design, and rollout frameworks
• Champion data-driven decision-making and raise the data IQ across the company

YOU IDEALLY HAVE:

• 10+ years of experience across Data Analytics, Data Science, and Data Engineering, with at least 3+ years leading multi-disciplinary data teams.
• Proven experience owning and scaling a modern data stack (Snowflake/BigQuery, dbt, Airflow, Databricks, Fivetran, etc.).
• Strong technical proficiency in SQL and Python.
• Proficiency in leveraging AI across data verticals and an eagerness to continue to learn more
• Experience building and maintaining production-level data pipelines and ML models.
• Experience with A/B testing frameworks, causal inference, and experimentation platforms
• Demonstrated ability to translate sophisticated data concepts into clear, actionable insights.
• Excellent communication, prioritization, and stakeholder-management skills.

IT’S A BONUS IF YOU HAVE:

• Background in gaming, lottery, fintech, or other regulated industries
• Experience with real-time data architectures (Kafka, Kinesis)
• Experience with consumer personalization systems, recommendation models, or lifecycle optimization
• Familiarity with MarTech and CDPs (Optimove, Braze, etc)
• Expertise in LTV modeling, and fraud/risk models
• Experience in high-growth consumer or tech startups

ABOUT YOU:

• You work extremely well cross-functionally and are autonomous and proactive in your output
• You thrive under competing priorities and know how to structure your time and team
• You have grit, perseverance, and a founder mentality
• You are solutions-oriented, adaptable, and calm in ambiguity
• You embrace feedback and continuous learning - you’re not a finished product and don’t want to be

One of Jackpot’s core values is Lifelong Learning. We don’t believe we are ever finished products and strongly believe in growing and developing to improve ourselves. If what you’ve read so far sounds exciting but your experience doesn’t quite match what we’re looking for, we strongly encourage you to apply anyway! We are committed to building a diverse, inclusive team where everyone can feel proud to contribute to.

WHAT WE CAN OFFER:

• $170,000-$200,000 base salary + bonus + equity
• The opportunity to have a voice, say, and “leave your fingerprints” on our product and business
• A commitment to provide you with the benefits of a start-up career without the start-up pains
• Benefits on par with leading, progressive tech companies (think 100% employee-only coverage, monthly HSA contribution, mental health offerings, etc.)
• 401(k)
• Paid parental leave
• PTO/Sick Time
• Dedication to Lifelong Learning through our Monthly Speaker Series
• A culture of trust and accountability

ABOUT THE ROLE:

We’re looking for a Director of Data & Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy & Data Officer, you’ll build and manage a data organization that powers product development, personalization, experimentation, and business intelligence. You’ll have an AI-first mentality in proactively seeking new and innovative ways to embed AI in our data organization.

If you’re looking for the opportunity to build a modern data organization from the ground up at a high-growth consumer startup — this may be the perfect role for you.

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify.

WHAT YOU’LL DO:

• Set the vision and strategy for Data Analytics and Data Science
• Partner with Data Engineering to modernize our data infrastructure
• Own the data platform, including pipelines, warehousing, modeling, governance, observability, and reliability
• Be the AI thought leader, finding new and innovative ways to leverage AI to improve the business
• Develop predictive and machine learning models that power personalization, fraud detection, forecasting, and user behavior prediction
• Partner cross-functionally with Product, Engineering, Marketing, Finance, Operations, and Compliance to drive strategy and decision-making
• Create dashboards and analytical tools to empower self-service and automate insights
• Create a world-class experimentation program, including statistical rigor, tools, design, and rollout frameworks
• Champion data-driven decision-making and raise the data IQ across the company

YOU IDEALLY HAVE:

• 10+ years of experience across Data Analytics, Data Science, and Data Engineering, with at least 3+ years leading multi-disciplinary data teams.
• Proven experience owning and scaling a modern data stack (Snowflake/BigQuery, dbt, Airflow, Databricks, Fivetran, etc.).
• Strong technical proficiency in SQL and Python.
• Proficiency in leveraging AI across data verticals and an eagerness to continue to learn more
• Experience building and maintaining production-level data pipelines and ML models.
• Experience with A/B testing frameworks, causal inference, and experimentation platforms
• Demonstrated ability to translate sophisticated data concepts into clear, actionable insights.
• Excellent communication, prioritization, and stakeholder-management skills.

IT’S A BONUS IF YOU HAVE:

• Background in gaming, lottery, fintech, or other regulated industries
• Experience with real-time data architectures (Kafka, Kinesis)
• Experience with consumer personalization systems, recommendation models, or lifecycle optimization
• Familiarity with MarTech and CDPs (Optimove, Braze, etc)
• Expertise in LTV modeling, and fraud/risk models
• Experience in high-growth consumer or tech startups

ABOUT YOU:

• You work extremely well cross-functionally and are autonomous and proactive in your output
• You thrive under competing priorities and know how to structure your time and team
• You have grit, perseverance, and a founder mentality
• You are solutions-oriented, adaptable, and calm in ambiguity
• You embrace feedback and continuous learning - you’re not a finished product and don’t want to be

One of Jackpot’s core values is Lifelong Learning. We don’t believe we are ever finished products and strongly believe in growing and developing to improve ourselves. If what you’ve read so far sounds exciting but your experience doesn’t quite match what we’re looking for, we strongly encourage you to apply anyway! We are committed to building a diverse, inclusive team where everyone can feel proud to contribute to.

WHAT WE CAN OFFER:

• $170,000-$200,000 base salary + bonus + equity
• The opportunity to have a voice, say, and “leave your fingerprints” on our product and business
• A commitment to provide you with the benefits of a start-up career without the start-up pains
• Benefits on par with leading, progressive tech companies (think 100% employee-only coverage, monthly HSA contribution, mental health offerings, etc.)
• 401(k)
• Paid parental leave
• PTO/Sick Time
• Dedication to Lifelong Learning through our Monthly Speaker Series
• A culture of trust and accountability

At WelbeHealth, we serve our communities’ most vulnerable seniors through shared intention, pioneering spirit, and the courage to love. These core values and our participant-focus lead the way no matter what.

Under the direction of the Senior Director, Analytics and WelbeHealth leaders, the Principal Data Analyst (Healthcare Economics) leads the charge to identify healthcare utilization trends that can lead to differential quality and cost outcomes in partnership with physician and operational leadership.

This role is different because the Principal Data Analyst (Healthcare Economics) at WelbeHealth:

• Directly influences healthcare quality and cost outcomes by identifying utilization trends, uncovering actionable insights, and partnering with physician, clinical, and operational leaders to drive data-informed decisions that improve participant care and organizational performance
• Blends advanced healthcare economics expertise with consultative analytics, translating complex claims, utilization, and operational data into intuitive visualizations, meaningful business intelligence, and strategic recommendations that shape enterprise priorities

We care about our team members. That’s why we offer:

• Medical insurance coverage (Medical, Dental, Vision)
• Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days
• 401K savings + match
• Comprehensive compensation package including base pay and bonus
• And additional benefits!

On the day-to-day, you will:

• Monitor and identify healthcare utilization trends, partnering with stakeholders to address key levers to improve quality and cost outcomes with a focus on healthcare utilization, such as home care, transportation, specialist, and facilities
• Use hands-on visualization and report development skills to create clear, concise, professional-grade reports that are visually pleasing and deliver an unmatched user experience
• Partner with business stakeholders to identify their data visualization and delivery needs, design report mockups, and iterate and co-create a final visual solution
• Communicate effectively with business users, stakeholders, and leaders on how business and clinical logic is applied to information points to arrive at key KPIs and metrics, and how operational activities interlink to KPIs, OKRs, etc.
• Create visual information delivery design reports that streamline how data is presented, delivered, and consumed for clinical and operational staff, stakeholders, and leaders
• Build relationships and trust with business partners
• Partner closely with the Business Information Management function to design business-facing semantic layers (data marts) and foundational information structures that feed into Power BI, in order to simplify data acquisition

Job requirements include:

• Bachelor’s degree in analytical discipline or relevant field; master’s degree preferred
• Actuarial certification is a strong plus
• Minimum of five (5) years specializing in healthcare economics or actuarial-based analytics with hands-on experience with medical claims
• Experience in HEDIS or similar quality measurement is a strong plus
• Experience leveraging AI is a strong plus
• Minimum of five (5) years of experience with business information architecture, business metric governance, metric cataloging, and data dictionaries
• Minimum of seven (7) years of experience in analytics leveraging SQL/Databricks, with a focus on converting business information into visualizations, reports, and business-facing information delivery solutions

We are seeking a Principal Data Analyst (Healthcare Economics) who is passionate about leveraging healthcare data to improve participant outcomes, optimize utilization, and drive measurable business value. The ideal candidate is a highly analytical and consultative problem solver who excels at translating complex healthcare economics and claims data into meaningful insights that influence clinical and operational decision-making. If you thrive on uncovering opportunities through data, partnering with cross-functional leaders, and delivering innovative analytics that improve quality, affordability, and the participant experience, we’d love to hear from you!

Compensation consists of base salary plus bonus. WelbeHealth offers a competitive total rewards package that includes a 401(k) match, comprehensive healthcare coverage, and a broad range of additional benefits. Actual compensation will be determined based on experience and relevant qualifications.

Compensation Offering

$132,181.05—$174,478.99 USD

COVID-19 Vaccination Policy

At WelbeHealth, our mission is to unlock the full potential of our vulnerable seniors. In this spirit, please note that we have a vaccination policy for all our employees and proof of vaccination, or a vaccine declination form will be required prior to employment. WelbeHealth maintains required infection control and PPE standards and has requirements relevant to all team members regarding vaccinations.

Our Commitment to Diversity, Equity and Inclusion

At WelbeHealth, we embrace and cherish the diversity of our team members, and we’re committed to building a culture of inclusion and belonging. We’re proud to be an equal opportunity employer. People seeking employment at WelbeHealth are considered without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), pregnancy or other status protected by applicable law.

Beware of Scams

Please ensure your application is being submitted through a WelbeHealth sponsored site only. Our emails will come from @welbehealth.com email addresses. You will never be asked to purchase your own employment equipment. You can report suspected scam activity to fraud.report@welbehealth.com

Dandy is transforming the massive and antiquated dental industry—an industry worth over $400B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.

Role Overview

The Director, Revenue Operations will lead the team responsible for ensuring that revenue leaders have forecast, financial, and performance visibility into the customer lifecycle from lead awareness through activation. This leader will ensure the Revenue Operations organization is equipped to drive predictable revenue through actionable insights and regular business reviews.

In partnership with commercial and business leaders, you will help set the strategic direction for the Revenue organization to optimize customer growth and sales efficiency. You will also help drive strategic conversations around pricing levers, discounting performance, and sales incentives to drive incremental revenue growth.

Key Responsibilities

• Define and instrument the GTM bowtie model across the customer lifecycle from lead awareness to activation

• Partner with Sales and Post sales operations to drive the GTM planning cycle: capacity models, territory design, quota setting, coverage strategy across US and international markets

• Measure forecast accuracy and pipeline predictability for the executive team in partnership with Sales Ops leaders

• Partner with Marketing, Finance, and Post-Sales Ops to ensure seamless revenue handoffs

• Deliver actionable insights on AE productivity, conversion rates, and deal velocity

• Partner with Finance and Data leaders to build and deliver executive reporting to ensure business leaders understand revenue drivers, product adoption, expansion levers, and churn risk areas

Qualifications

• 8+ years in Sales/Revenue Operations, Finance, Consulting or other highly analytical environments, with 3+ years in a leadership role

• Strong leadership skills with experience managing and developing teams

• Excellent communication, problem-solving, and organizational skills

• Ability to thrive in a fast-paced environment and adapt to changing business needs

• Proven success working cross-functionally to achieve revenue targets

For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work.

Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.

Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

Data Privacy Notice: By submitting your application, you consent to Dandy collecting, storing, and processing your personal information for recruitment purposes in accordance with our Privacy Policy and GDPR regulations. You have the right to access, rectify, or request the deletion of your data at any time by contacting Privacy Requests.

We’re looking for a Customer Support Systems & Analytics Lead to own the data strategy and reporting function within the Customer Support organisation at Mercury. As our operations grow in...

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com

THE ROLE:

This role is responsible for turning data, research, market intelligence, customer behavior, product usage, and industry trends into clear, actionable insights that can be used across marketing, sales, product, communications, and leadership. You’ll work closely with product marketing, Sales Marketing, communications, growth marketing, field marketing, product, sales, and leadership to ensure insights are not just interesting, but useful, differentiated, and commercially impactful.

Insights Strategy

• Develop and lead the insights strategy across priority business areas, customer segments, markets, and industry themes.
• Identify the most important questions the business needs to answer about customers, audiences, market trends, buyer behavior, competitive dynamics, and product value.
• Build a roadmap for insights initiatives that support brand positioning, thought leadership, product marketing, sales enablement, demand generation, communications, events, and executive storytelling.
• Ensure insights activity is aligned to commercial priorities and helps the company create a stronger, more differentiated point of view in the market.

Research & Analysis

• Lead quantitative and qualitative research initiatives that generate meaningful insights for the business.
• Analyze market data, customer data, audience behavior, product usage, campaign performance, competitive activity, and industry trends to identify actionable patterns and opportunities.
• Partner with internal teams and external research partners where needed to design, execute, and interpret research programs.
• Bring rigor to how research is framed, conducted, analyzed, and translated into business recommendations.

Commercial Storytelling

• Turn insights into clear, compelling stories that help customers, prospects, partners, media, and internal stakeholders understand market opportunities and business value.
• Partner with Product Marketing and Sales Marketing to incorporate insights into sales narratives, pitch decks, one-pagers, customer presentations, category stories, proof points, and objection handling.
• Work with Communications to turn insights into thought leadership, media narratives, reports, bylines, speaking topics, executive commentary, and industry points of view.
• Help ensure insights are packaged in a way that is simple, credible, visually compelling, and commercially useful.

Thought Leadership & Market Point of View

• Develop proprietary research, reports, trend analyses, and market perspectives that strengthen the company’s position as a thought leader.
• Identifytimely and relevant industry themes where the company can contribute a strong, differentiated point of view.
• Partner with communications, content, creative, product marketing, and leadership to bring insights-led stories to market through reports, events, media, social, webinars, customer meetings, and executive presentations.
• Ensure thought leadership is grounded in credible data, sharp analysis, and clear relevance to customer needs.

Sales & Customer Support

• Support sales and customer-facing teams with insights that help open conversations, strengthen pitches, prove value, and respond to client questions.
• Partner with Sales Marketing to develop insights-led commercial materials that are easy for sales teams to use and relevant to customer priorities.
• Create audience, category, market, and customer insights that help sales teams tailor conversations to different buyer needs, verticals, and business challenges.
• Work with sales leadership and customer-facing teams to understand what insights are most useful in the market and where additional support is needed.

Cross-Functional Partnership

• Act as a key partner to product marketing, Sales Marketing, communications, growth marketing, field marketing, product, sales, finance, and leadership.
• Help connect insights across different parts of the business so teams are working from a shared understanding of the market, customer needs, and business opportunities.
• Support major launches, campaigns, events, customer meetings, strategic planning, and executive narratives with relevant insights and analysis.
• Ensure insights are accessible, reusable, and connected to the broader marketing and commercial strategy.

Measurement & Impact

• Establish clear ways to evaluate the impact of insights work across marketing, communications, sales, and business priorities.
• Track how insights are used in sales materials, campaigns, thought leadership, media, events, and customer conversations.
• Continuously improve the quality, relevance, and usefulness of insights based on feedback from internal teams and market response.
• Build a culture of evidence-based storytelling and insight-led decision-making across the marketing organization.

WHAT YOU’LL BRING:

• Significant experience in insights, research, strategy, analytics, market intelligence, or related roles.
• Experience in B2B technology, sports, media, advertising technology, data, SaaS, betting, or related industries preferred.
• Proven ability to turn data and research into compelling business narratives and actionable recommendations.
• Strong understanding of qualitative and quantitative research methods.
• Experience supporting sales, marketing, communications, thought leadership, and executive storytelling.
• Ability to work with multiple data sources and identify meaningful patterns, trends, and opportunities.
• Strong writing, presentation, and storytelling skills.
• Experience working with senior stakeholders and cross-functional teams.
• Comfortable operating in a fast-moving, global, matrixed environment.

The annualized base salary for this role ranges from $170,000 to $200,000 USD and includes eligibility for additional variable compensation and equity. This role will also be eligible to take part in Genius Sports Group’s benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com

THE ROLE:

This role is responsible for turning data, research, market intelligence, customer behavior, product usage, and industry trends into clear, actionable insights that can be used across marketing, sales, product, communications, and leadership. You’ll work closely with product marketing, Sales Marketing, communications, growth marketing, field marketing, product, sales, and leadership to ensure insights are not just interesting, but useful, differentiated, and commercially impactful.

Insights Strategy

• Develop and lead the insights strategy across priority business areas, customer segments, markets, and industry themes.
• Identify the most important questions the business needs to answer about customers, audiences, market trends, buyer behavior, competitive dynamics, and product value.
• Build a roadmap for insights initiatives that support brand positioning, thought leadership, product marketing, sales enablement, demand generation, communications, events, and executive storytelling.
• Ensure insights activity is aligned to commercial priorities and helps the company create a stronger, more differentiated point of view in the market.

Research & Analysis

• Lead quantitative and qualitative research initiatives that generate meaningful insights for the business.
• Analyze market data, customer data, audience behavior, product usage, campaign performance, competitive activity, and industry trends to identify actionable patterns and opportunities.
• Partner with internal teams and external research partners where needed to design, execute, and interpret research programs.
• Bring rigor to how research is framed, conducted, analyzed, and translated into business recommendations.

Commercial Storytelling

• Turn insights into clear, compelling stories that help customers, prospects, partners, media, and internal stakeholders understand market opportunities and business value.
• Partner with Product Marketing and Sales Marketing to incorporate insights into sales narratives, pitch decks, one-pagers, customer presentations, category stories, proof points, and objection handling.
• Work with Communications to turn insights into thought leadership, media narratives, reports, bylines, speaking topics, executive commentary, and industry points of view.
• Help ensure insights are packaged in a way that is simple, credible, visually compelling, and commercially useful.

Thought Leadership & Market Point of View

• Develop proprietary research, reports, trend analyses, and market perspectives that strengthen the company’s position as a thought leader.
• Identifytimely and relevant industry themes where the company can contribute a strong, differentiated point of view.
• Partner with communications, content, creative, product marketing, and leadership to bring insights-led stories to market through reports, events, media, social, webinars, customer meetings, and executive presentations.
• Ensure thought leadership is grounded in credible data, sharp analysis, and clear relevance to customer needs.

Sales & Customer Support

• Support sales and customer-facing teams with insights that help open conversations, strengthen pitches, prove value, and respond to client questions.
• Partner with Sales Marketing to develop insights-led commercial materials that are easy for sales teams to use and relevant to customer priorities.
• Create audience, category, market, and customer insights that help sales teams tailor conversations to different buyer needs, verticals, and business challenges.
• Work with sales leadership and customer-facing teams to understand what insights are most useful in the market and where additional support is needed.

Cross-Functional Partnership

• Act as a key partner to product marketing, Sales Marketing, communications, growth marketing, field marketing, product, sales, finance, and leadership.
• Help connect insights across different parts of the business so teams are working from a shared understanding of the market, customer needs, and business opportunities.
• Support major launches, campaigns, events, customer meetings, strategic planning, and executive narratives with relevant insights and analysis.
• Ensure insights are accessible, reusable, and connected to the broader marketing and commercial strategy.

Measurement & Impact

• Establish clear ways to evaluate the impact of insights work across marketing, communications, sales, and business priorities.
• Track how insights are used in sales materials, campaigns, thought leadership, media, events, and customer conversations.
• Continuously improve the quality, relevance, and usefulness of insights based on feedback from internal teams and market response.
• Build a culture of evidence-based storytelling and insight-led decision-making across the marketing organization.

WHAT YOU’LL BRING:

• Significant experience in insights, research, strategy, analytics, market intelligence, or related roles.
• Experience in B2B technology, sports, media, advertising technology, data, SaaS, betting, or related industries preferred.
• Proven ability to turn data and research into compelling business narratives and actionable recommendations.
• Strong understanding of qualitative and quantitative research methods.
• Experience supporting sales, marketing, communications, thought leadership, and executive storytelling.
• Ability to work with multiple data sources and identify meaningful patterns, trends, and opportunities.
• Strong writing, presentation, and storytelling skills.
• Experience working with senior stakeholders and cross-functional teams.
• Comfortable operating in a fast-moving, global, matrixed environment.

The annualized base salary for this role ranges from $170,000 to $200,000 USD and includes eligibility for additional variable compensation and equity. This role will also be eligible to take part in Genius Sports Group’s benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

*Immigration / Work Authorization Notice:* Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You’ll Be Part Of:

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our clients. We thrive on innovation, employing cutting-edge techniques that empower our clients to advance their businesses. Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion for growth.

Responsibilities:

As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:

●Managing, mentoring and growing three direct reports as well as fostering growth of the entire Data Science team.

●Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.

●Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.

●Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.

●Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.

●Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving.

Qualifications and Education Requirements:

● Experience: 5+ years of experience in Analytics, Data Science, or a comparable field

●Education: Bachelor’s degree in a quantitative or social science field, Master’s/PhD preferred

●Coding Experience: 3+ years coding experience with 2+ years coding specifically in R or Python;

●Coding Skill: Advanced coding skill in Python, or R;

●Management Experience: 1+ years of people management or people mentorship;

Preferred Skills:

• Technical Knowledge: Intermediate knowledge of Analytics, Data Science, Statistics, Marketing, and Visualizations;

•Communication: Exceptional written and verbal communication with internal and external stakeholders at all levels;

•iSpot’sClient Data Science team expects all candidates to have a range of soft skills, including but not limitedto:critical thinking, attention to detail, and effective communication. Additionally, the following soft skills are required for success in this role: Problem solving; Empathy; Leadership.

Target cash compensation range: $136,000-168,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-REMOTE

If you don’t feel you met every single requirement for the role, don’t rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.