{"id":990402,"url":"https://alion.io/job/fetch-senior-data-scientist","title":"Senior Data Scientist","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":89,"open_postings":16,"ghost_share":0,"stale_share":0.438,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","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":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"dbt","optional":false},{"name":"GDPR","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-14T18:05:16Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-14T00:55:04Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"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\nWe 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.\nYou 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.\nOver time, you will take on increasingly sophisticated modeling and business case development while helping strengthen data literacy and analytical rigor across your team.\nWhat You'll Do at Fetch\nAnalytics & Modeling\nIndependently design and execute complex analyses, statistical models, and measurement frameworks that inform product and business decisions.\nApply statistical methods such as experimental design, causal inference, predictive modeling, and Bayesian approaches based on the needs of the problem.\nTranslate ambiguous business questions into structured analytical approaches, identifying the appropriate metrics, methodologies, and data required.\nMake thoughtful trade-offs between rigor, speed, precision, and practicality based on the business decision at hand.\nBusiness Impact & Experimentation\nAct as the primary analytical owner for a product or business area, defining and maintaining its core KPIs and measurement frameworks.\nProactively identify opportunities where analytics and experimentation can improve user behavior, revenue, conversion, retention, cost efficiency, or other key outcomes.\nDesign and analyze experiments, partnering with Product and Engineering to influence experimentation strategy and decision-making.\nConnect metric movements and analytical findings to underlying business drivers, clearly articulating implications and recommended actions.\nQuantify the impact of product and business initiatives and use those insights to influence roadmap and prioritization decisions.\nCollaboration & Influence\nPartner closely with Product, Engineering, Marketing, and Data Product stakeholders to inform team-level product and business decisions.\nCommunicate complex analyses through clear narratives and visualizations, including assumptions, trade-offs, confidence levels, and expected business impact.\nTranslate technical and analytical concepts for non-technical partners and navigate cross-functional dependencies effectively.\nIncrease data literacy by making metrics, analyses, and recommendations accessible and actionable for stakeholders.\nInformally mentor junior data scientists and analysts, helping strengthen their technical judgment and analytical approaches.\nTechnical Excellence\nLeverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work.\nApply strong practices in experimentation, model validation, reproducibility, and governance.\nUse AI/ML tools thoughtfully to improve analytical workflows, automation, documentation, and anomaly detection while maintaining appropriate validation.\nMinimum Requirements\n5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments.\nStrong expertise in statistical modeling, experimental design, and causal inference.\nExperience owning KPIs, measurement, or analytics for a product or business area and translating findings into actionable recommendations.\nDemonstrated ability to structure ambiguous business problems and connect analytical findings to business drivers such as revenue, cost, conversion, retention, or user behavior.\nStrong proficiency in SQL and at least one programming language, preferably Python.\nExperience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark.\nProven ability to communicate complex technical insights, trade-offs, and confidence levels to technical and non-technical stakeholders.\nAbility to work independently while navigating cross-functional dependencies and escalating broader trade-offs appropriately.\nBachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.\nPreferred Requirements\nAdvanced degree in a quantitative discipline.\nExperience deploying or operationalizing predictive or statistical models.\nBackground in consumer products, with experience using data to understand user behavior and inform engagement, retention, monetization, or other key customer outcomes.\nExperience building frameworks that improve experimentation velocity and decision quality.\nFamiliarity with privacy-preserving data modeling and compliance standards such as GDPR or CCPA.\nExperience mentoring junior data scientists, analysts, or interns.\nCompensation: 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.\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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