{"id":2754172,"url":"https://alion.io/job/fetch-senior-data-scientist-ii-relevance-ranking","title":"Senior Data Scientist II, Relevance & Ranking","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":12,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-10-22T06:10:10Z"}},"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":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":139000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"dbt","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":"2026-10-16T23:39:48Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-22T09:35:37Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"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:\nYou'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.\nAs 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.\nYou'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.\nWhat You’ll Do at Fetch:\nOwn the data science strategy and roadmap for ranking and relevance as the team's dedicated data scientist\nPartner closely with engineers to improve ranking models end to end, from defining what the model should optimize through experimentation\nOwn experiment design and turn results into clear launch recommendations\nDesign measurement that holds up in a marketplace, where bias and interference between advertisers can distort results\nApply rigorous observational methods when experiments aren't possible, and defend the assumptions behind them\nBuild marketplace frameworks that balance advertiser, user, and platform value with clear success criteria and guardrails for the trade-offs\nSeparate true incremental gains from value that's simply shifted between advertisers, surfaces, or time periods\nMeasure how changes impact different user and advertiser segments, distinguishing durable value from short-term lift\nUse findings to shape targeting and investment strategy, accounting for uncertainty\nQuantify commercial impact to guide senior leaders on priorities and product decisions\nServe as the core data science partner to commercial and offer teams, turning business goals into measurable objectives and ranking improvements\nCommunicate with technical and non-technical partners alike\nMentor others and build reusable methods that raise the team's scientific quality and execution\nLeverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work\nMinimum Qualifications:\n8+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments\nExperience owning the analytical roadmap and experiments for ranking, relevance, or recommendations\nAbility to explain which questions you prioritized, which work you declined, and why\nCross-functional collaboration experience where product, sales, and engineering are all factors in your daily work\nExperience defining a marketplace KPI framework and resolving advertiser-user-platform trade-offs\nTrack record of looking beyond a single metric's improvement to its effect on overall marketplace economics\nExperience designing measurement that accounts for selection bias, shared budgets, or spillovers\nAbility to defend experiment design and its assumptions, addressing selection bias, interference, or observational identification\nDemonstrated incremental, persistent business impact\nTrack record of influencing strategy or launch decisions\nExamples of redirecting, pausing, or stopping initiatives based on quantified trade-offs\nExperience building reusable analytical assets and mentoring other analysts or scientists\nStrong modeling expertise\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\nPreferred Qualifications:\nSubstantial experience with advertiser-funded consumer marketplaces, retail media, or ad platforms balancing advertiser, user, and platform incentives\nExperience in ad ranking or product search and ranking\nConsumer product analytics experience connecting behavior to retention and monetization\nThis is a full-time role that can be held from one of our US offices or remotely in the United States or any Canadian province (excluding Quebec), subject to appropriate work authorization. Canadian employment, if applicable, would be through Fetch’s Canadian Employer of Record.\nBenefits for Canada-based employees may differ slightly to comply with applicable law(s) (e.g., paid time off, Holidays, etc.).\nFetch may use technology tools that incorporate artificial intelligence (\"AI\") capabilities to support certain activities within our recruiting and hiring process:\nReviewing and organizing applications and resumes to help our recruiting team manage high volumes of submissions, including automated review of fraud signals to identify bad actors;\nIdentifying candidates whose stated qualifications and experience appear relevant to an open position;\nScheduling and coordinating interviews with candidates;\nGenerating interview summaries or notes to assist recruiters and hiring managers in their review; and\nConducting research on open roles and candidate pools to improve the effectiveness of our recruiting practices.\nFetch does not use AI tools to make hiring decisions. All decisions regarding whether to advance a candidate, extend an offer, or decline an application are made by Fetch employees, who are predominantly members of our Talent Acquisition team and relevant Hiring Managers. AI tools serve only to assist the process of recruiting talent and to inform the human review of candidate information. In no way does Fetch allow AI systems to make, finalize, or override any employment decision.\nCompensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. 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.\n401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.\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. (Holidays will vary for Canada-based roles)\nRobust 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.\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 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)\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. If you need assistance with the application process or require an accommodation, please contact us at .","description_format":"text","description_chars":11548,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Gift Cards & Loyalty Programs","Coupons, Deals & Cashbacks"],"lifecycle":[{"event":"open","at":"2026-10-17T01:09:21Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":5,"expected_fill_days":53,"reasons":["conf:0","stale_co","velocity","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/fetch-senior-data-scientist-ii-relevance-ranking","json_url":"https://alion.io/job/fetch-senior-data-scientist-ii-relevance-ranking.json","meta":{"generated_at":"2026-10-22T11:40:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9741,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":672968},"rest":"https://alion.io/mcp/rest/get_company?id=672968"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffetch-senior-data-scientist-ii-relevance-ranking"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffetch-senior-data-scientist-ii-relevance-ranking"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffetch-senior-data-scientist-ii-relevance-ranking"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fetch-senior-data-scientist-ii-relevance-ranking\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffetch-senior-data-scientist-ii-relevance-ranking"}]}