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Fetch Rewards gives shoppers an easy and fun way to save on their everyday purchases.
The Role
Own complex analyses and measurement frameworks for a product or business area. Design experiments and statistical/causal models, define and monitor KPIs, quantify impact, and translate findings into product and business recommendations. Partner cross-functionally, mentor junior analysts, and use tools like Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to scale analytics and ensure reproducibility and strong governance.
Summary Generated by Built In
What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.
At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
Meet Fetch AI & Data
AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.
Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use.
Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows.
We are seeking a Senior Data Scientist to serve as a key analytical partner within Fetch, owning complex analyses and measurement frameworks that inform product and business decisions. You will take primary analytical ownership of a product or business area, defining and monitoring core KPIs, identifying opportunities, and using experimentation, statistical modeling, and data-driven recommendations to improve user and business outcomes.
You will partner cross-functionally with Product, Engineering, Marketing, and Data Product teams to turn ambiguous business questions into structured analytical approaches and actionable recommendations. Success in this role requires strong technical judgment, the ability to balance analytical rigor with business urgency, and the ability to connect data and model outputs to the underlying drivers of revenue, cost, and user behavior.
Over time, you will take on increasingly sophisticated modeling and business case development while helping strengthen data literacy and analytical rigor across your team.
- Independently design and execute complex analyses, statistical models, and measurement frameworks that inform product and business decisions.
- Apply statistical methods such as experimental design, causal inference, predictive modeling, and Bayesian approaches based on the needs of the problem.
- Translate ambiguous business questions into structured analytical approaches, identifying the appropriate metrics, methodologies, and data required.
- Make thoughtful trade-offs between rigor, speed, precision, and practicality based on the business decision at hand.
- Act as the primary analytical owner for a product or business area, defining and maintaining its core KPIs and measurement frameworks.
- Proactively identify opportunities where analytics and experimentation can improve user behavior, revenue, conversion, retention, cost efficiency, or other key outcomes.
- Design and analyze experiments, partnering with Product and Engineering to influence experimentation strategy and decision-making.
- Connect metric movements and analytical findings to underlying business drivers, clearly articulating implications and recommended actions.
- Quantify the impact of product and business initiatives and use those insights to influence roadmap and prioritization decisions.
- Partner closely with Product, Engineering, Marketing, and Data Product stakeholders to inform team-level product and business decisions.
- Communicate complex analyses through clear narratives and visualizations, including assumptions, trade-offs, confidence levels, and expected business impact.
- Translate technical and analytical concepts for non-technical partners and navigate cross-functional dependencies effectively.
- Increase data literacy by making metrics, analyses, and recommendations accessible and actionable for stakeholders.
- Informally mentor junior data scientists and analysts, helping strengthen their technical judgment and analytical approaches.
- Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work.
- Apply strong practices in experimentation, model validation, reproducibility, and governance.
- Use AI/ML tools thoughtfully to improve analytical workflows, automation, documentation, and anomaly detection while maintaining appropriate validation.
- 5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments.
- Strong expertise in statistical modeling, experimental design, and causal inference.
- Experience owning KPIs, measurement, or analytics for a product or business area and translating findings into actionable recommendations.
- Demonstrated ability to structure ambiguous business problems and connect analytical findings to business drivers such as revenue, cost, conversion, retention, or user behavior.
- Strong proficiency in SQL and at least one programming language, preferably Python.
- Experience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark.
- Proven ability to communicate complex technical insights, trade-offs, and confidence levels to technical and non-technical stakeholders.
- Ability to work independently while navigating cross-functional dependencies and escalating broader trade-offs appropriately.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- Advanced degree in a quantitative discipline.
- Experience deploying or operationalizing predictive or statistical models.
- Background in consumer products, with experience using data to understand user behavior and inform engagement, retention, monetization, or other key customer outcomes.
- Experience building frameworks that improve experimentation velocity and decision quality.
- Familiarity with privacy-preserving data modeling and compliance standards such as GDPR or CCPA.
- Experience mentoring junior data scientists, analysts, or interns.
Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $159,945 - $188,171. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)
Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at [email protected].
Skills Required
- 5+ years experience in data science, machine learning, or applied analytics with ownership of complex analytical problems
- Strong expertise in statistical modeling, experimental design, and causal inference
- Experience owning KPIs, measurement, or analytics for a product or business area and translating findings into recommendations
- Strong proficiency in SQL and at least one programming language (preferably Python)
- Experience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark
- Proven ability to communicate complex technical insights to technical and non-technical stakeholders
- Ability to work independently while navigating cross-functional dependencies
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field
- Experience deploying or operationalizing predictive or statistical models
- Advanced degree in a quantitative discipline
- Background in consumer products and using data to inform engagement, retention, or monetization
- Experience building frameworks that improve experimentation velocity and decision quality
- Familiarity with privacy-preserving data modeling and compliance standards such as GDPR or CCPA
- Experience mentoring junior data scientists, analysts, or interns
Fetch Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fetch and has not been reviewed or approved by Fetch.
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Healthcare Strength — Benefits information points to comprehensive medical, dental, vision, and life insurance coverage. Feedback suggests employees value the strong health offerings alongside mental-health support.
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Leave & Time Off Breadth — Policies include flexible or unlimited PTO, paid holidays and sick days, bereavement (including pet) and natural-disaster leave. Feedback suggests time-off breadth is a standout element of the package.
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Wellbeing & Lifestyle Benefits — Wellness programs, 1:1 coaching, Gympass, team workouts, and nutrition counseling are provided. Office and remote perks such as home-office stipends, snacks, and pet-friendly spaces further enhance lifestyle support.
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The Company
What We Do
Fetch Rewards is a mobile app that connects and rewards everyday shoppers for buying the brands they love. Fetch gives users the easiest way to save on their purchases by simply scanning any grocery receipt, from any store. For our brand partners, Fetch helps them build long-term loyalty, and understand a true 360 degree view of purchase behavior.
Why Work With Us
We put people first - both in our culture, and in our product. Our culture is built on transparency, empowerment and accountability. Our product is built on putting our customers first in everything we do - from design, to privacy and security, to new features. The result is the rapid growth we all dream of being a part of. Come join the team!
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