Fetch helps people live rewarded, with a vision to create the rewards destination for everyone.
The Role
Own the data science strategy and experimentation roadmap for ranking and relevance. Partner with product, engineering, ML, and commercial teams to improve marketplace outcomes through ranking models, experimentation, observational analysis, KPI frameworks, and commercial impact measurement. Balance advertiser, user, and platform value; guide launch and investment decisions; communicate findings to stakeholders; mentor scientists; and develop reusable analytical methods.
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.
About the Role:
You'll own the analytical and experimentation roadmap for ranking and relevance at Fetch, partnering with Product, Engineering, and ML to improve advertiser outcomes, user value, and Fetch's long-term economics.
As the team's dedicated data scientist, you'll own the data science strategy for relevance and ranking, working closely with engineers on models that drive user engagement, rewards earned, and partner economic outcomes. You'll build frameworks that balance advertiser incrementality and delivery, user relevance and retention, and platform revenue, reward costs, and margin.
You'll be the core data science partner across the go-to-market, offer development, and offer delivery teams, translating commercial goals into measurable objectives, product requirements, and ranking improvements. You'll shape senior stakeholder decisions on launch, iteration, or stopping, and mentor others while establishing reusable methods that improve the team's scientific quality and execution.
What You’ll Do at Fetch:
- Own the data science strategy and roadmap for ranking and relevance as the team's dedicated data scientist
- Partner closely with engineers to improve ranking models end to end, from defining what the model should optimize through experimentation
- Own experiment design and turn results into clear launch recommendations
- Design measurement that holds up in a marketplace, where bias and interference between advertisers can distort results
- Apply rigorous observational methods when experiments aren't possible, and defend the assumptions behind them
- Build marketplace frameworks that balance advertiser, user, and platform value with clear success criteria and guardrails for the trade-offs
- Separate true incremental gains from value that's simply shifted between advertisers, surfaces, or time periods
- Measure how changes impact different user and advertiser segments, distinguishing durable value from short-term lift
- Use findings to shape targeting and investment strategy, accounting for uncertainty
- Quantify commercial impact to guide senior leaders on priorities and product decisions
- Serve as the core data science partner to commercial and offer teams, turning business goals into measurable objectives and ranking improvements
- Communicate with technical and non-technical partners alike
- Mentor others and build reusable methods that raise the team's scientific quality and execution
- Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work
Minimum Qualifications:
- 8+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments
- Experience owning the analytical roadmap and experiments for ranking, relevance, or recommendations
- Ability to explain which questions you prioritized, which work you declined, and why
- Cross-functional collaboration experience where product, sales, and engineering are all factors in your daily work
- Experience defining a marketplace KPI framework and resolving advertiser–user–platform trade-offs
- Track record of looking beyond a single metric's improvement to its effect on overall marketplace economics
- Experience designing measurement that accounts for selection bias, shared budgets, or spillovers
- Ability to defend experiment design and its assumptions, addressing selection bias, interference, or observational identification
- Demonstrated incremental, persistent business impact
- Track record of influencing strategy or launch decisions
- Examples of redirecting, pausing, or stopping initiatives based on quantified trade-offs
- Experience building reusable analytical assets and mentoring other analysts or scientists
- Strong modeling expertise
- 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
Preferred Qualifications:
- Substantial experience with advertiser-funded consumer marketplaces, retail media, or ad platforms balancing advertiser, user, and platform incentives
- Experience in ad ranking or product search and ranking
- Consumer product analytics experience connecting behavior to retention and monetization
This is a full-time role that can be held from one of our US offices or remotely in the United States.
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 $183,665-$216,077. 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.
- 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
- 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. (Holidays will vary for Canada-based roles)
- Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, 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 for US-based roles. 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
- 8+ years of experience in data science, machine learning, or applied analytics in product-driven environments
- Experience owning analytical roadmaps and experiments for ranking, relevance, or recommendations
- Ability to explain prioritization decisions, including work declined and the rationale
- Cross-functional collaboration with product, sales, and engineering teams
- Experience defining marketplace KPI frameworks and resolving advertiser-user-platform trade-offs
- Ability to assess effects on overall marketplace economics beyond a single metric's improvement
- Experience designing measurement accounting for selection bias, shared budgets, or spillovers
- Ability to defend experiment designs and assumptions, including selection bias, interference, and observational identification
- Demonstrated incremental and persistent business impact
- Track record of influencing strategy or launch decisions
- Experience redirecting, pausing, or stopping initiatives based on quantified trade-offs
- Experience building reusable analytical assets and mentoring analysts or scientists
- Strong modeling expertise
- Strong proficiency in SQL and at least one programming language, preferably Python
- Experience with large-scale data systems such as Snowflake, dbt, Airflow, or Spark
- Experience with advertiser-funded consumer marketplaces, retail media, or ad platforms balancing advertiser, user, and platform incentives
- Experience in ad ranking or product search and ranking
- Consumer product analytics experience connecting behavior to retention and monetization
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
Through Fetch Points, the platform transforms everyday actions into rewarding moments, with more than $1 billion in Fetch Points awarded to date. Every day, more than 13 million receipts are submitted on Fetch, creating visibility into $212 billion in gross merchandise value and delivering the largest retail-agnostic, SKU-level view of household spending. This unmatched dataset powers Fetch as an outcomes-based advertising platform that acquires and retains lifelong consumers.
Why Work With Us
At Fetch, we back your ambition. You’ll have the scope, trust, and opportunity to turn bold ideas into meaningful impact for millions of people. Our builder-minded, high-agency, low-ego culture gives you room to shape what comes next and grow in ways that last, all while helping people live rewarded.
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