{"id":2562532,"url":"https://alion.io/job/fetch-senior-data-scientist-i-monetization","title":"Senior Data Scientist I, Monetization","company":{"id":672968,"name":"Fetch","domain":"fetch.com","url":"https://alion.io/company/fetch-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"A","score":88,"open_postings":14,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":159945,"max":188171,"currency":"USD","period":"year","gross":null,"usd_annual":188171},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-13T23:00:58Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T04:57:10Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"What we’re building and why we’re building it.\nFetch 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.\nEach 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.\nThe 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.\nIt’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.\nAt 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.\nMeet Fetch AI & Data\nAI & 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.\nTeams 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.\nPractitioners 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.\nAbout the Role\nFetch is built on real purchase data, shared by millions of users scanning their receipts. In Monetization, we turn that signal into products advertisers rely on: audiences built from actual shopping behavior, and measurement that shows whether a campaign changed what people bought.\nAs a Senior Data Scientist I, you’ll independently own a defined audience or measurement product, from framing the problem to delivering it. Most of your work will support our third-party data products business, and you’ll also apply what you learn to first-party user monetization. You’ll own the full loop: building informed audiences, extending them beyond Fetch’s user base, measuring off-platform outcomes through receipts, and using those results to make the next audience better.\nThis is a hands-on scientific and product role. You’ll partner closely with Product, Engineering, Sales, and GTM, and you’ll be in the room with customers explaining what the product does, why it works, and where its limits are.\nThis is a full-time role that can be held from one of our US offices or remotely in the United States.\nWhat you’ll do at Fetch\nIndependently own a defined audience or measurement product, from problem framing through delivery\nTranslate advertiser goals and purchase behavior into audience definitions, labels, and predictive models\nBuild and validate statistical expansion beyond Fetch users, testing quality, calibration, and reach on held-out populations while keeping observed purchases distinct from inferred propensity\nCombine receipt, partner, panel, survey, and contextual data into reliable datasets, accounting for linkage uncertainty, missingness, and coverage, and applying weighting or calibration where warranted\nDesign credible studies linking ad exposure to receipt-observed purchases, using experiments when feasible and well-justified observational methods when they aren’t\nCheck receipt coverage, exposure matching, selection bias, and uncertainty, and keep attribution and incrementality distinct\nTurn customer problems into scoped products with clear success criteria and launch recommendations, balancing audience quality, reach, advertiser value, user value, revenue, and cost\nFeed campaign outcomes back into audiences and models, using holdouts and fresh data to confirm improvements are real\nPartner with Sales and GTM to shape pilots and explain the product’s value, presenting methods and limitations without overpromising precision or lift\nBuild reproducible datasets, analyses, and validation checks, partnering with Product, Engineering, and ML engineers to move prototypes into production\nDocument your methods, share reusable code, and pass on what you learn to the team\nIn your Toolbox\n5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments\nExperience owning an audience, measurement, or data product from an ambiguous question through delivery and a business decision\nA track record of working regularly with product, engineering, and commercial partners, with the ability to clearly explain both the customer need and your own contribution\nExperience building useful datasets from fragmented, incomplete, or biased sources, and showing how you assessed their validity\nStrong population inference skills, including generalizing from an observed sample to a broader population and checking who’s missing\nExperience building propensity or audience models and validating them against real-world usefulness (population coverage, calibration, and measured outcomes), not just offline accuracy, then using the results to improve the next iteration\nHands-on causal inference experience, including designing an experiment or observational study you can defend (the comparison, assumptions, diagnostics, and limits) and separating attribution from true incrementality\nStrong SQL, Python, applied statistics, and predictive modeling skills, plus a habit of building reusable, reproducible assets\nThe ability to explain scientific findings clearly to nontechnical and customer audiences\nSound judgment about when to move independently and when to seek review because assumptions or scope have outrun the evidence\nNice to haves\nApplied experience in monetization data science, audience development, advertising measurement, market research, or consumer panels, especially where you tied data work to customer or commercial value is strongly preferred\nExperience working with panel, survey, consumer research, or purchase data\nA background in political science, survey methodology, econometrics, demography, or another quantitative field where you built strong datasets with limited resources and made explicit inferences about populations from sparse data\nCompensation:\nAt 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.\nAt Fetch, we'll give you the tools to feel healthy, happy and secure through:\nEquity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.\n401k Match: Dollar-for-dollar match up to 4%.\nBenefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.\nContinuing Education: Fetch provides ten thousand per year in education reimbursement.\nEmployee 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.\nPaid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. \nRobust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule. \nCalvin 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!\nFlexible 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)\nFetch 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.\nFetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. 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