{"id":3042523,"url":"https://alion.io/job/fetch-staff-data-scientist-product-2","title":"Staff Data Scientist, Product","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":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","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":78000,"max_usd":157000,"period":"year","method":"role_seniority_country_cell","sample_n":13},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-16T23:19:17Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-24T00:29:29Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"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’s off-platform data business monetizes our data beyond the app through audience segments, measurement capabilities, and data feeds. We are seeking a Staff Data Scientist to build the foundations of this business and accelerate its growth, serving as technical lead for a small team of data scientists while remaining hands-on in building the models and systems behind our data products.\nYou’ll set the technical direction across audiences, measurement, and data feeds, and personally architect and build the models and systems behind them, from early prototypes through scalable production use. On the audience side, you’ll build predictive models that extend Fetch’s reach well beyond our own user base, shape the relevance and ranking approaches that match the right audiences to each advertiser’s goals, and apply those capabilities to in-product work as well. On the measurement side, you’ll own the frameworks that turn campaign data into trusted proof of sales impact, using causal inference to separate true advertising effects from noise.\nYou’ll also set the quality bar for your team through hands-on mentorship and rigorous reviews, champion our methodology with customers, partners, and industry leaders, and align senior leaders around clear, decisive recommendations. You’ll build strong partnerships across product, engineering, and Go-to-Market teams to help establish Fetch’s approach as a trusted market standard.\nWhat you’ll do at Fetch:\nLead a small team of data scientists as technical lead, owning the quality and delivery of the team's work.\nSet the technical direction and roadmap across audiences, measurement, and data feeds, partnering with product and engineering on the design, quality, and coverage of the data delivered to partners.\nArchitect and build the models and systems behind our data products.\nDevelop data scientists in causal inference, predictive modeling, and clear communication.\nBuild predictive models that identify likely buyers and extend audiences beyond Fetch's user base.\nShape relevance and ranking approaches that match the right audiences to advertiser goals.\nDefine how audience quality is evaluated and articulate what differentiates Fetch audiences in a crowded market.\nExtend these models to in-product use cases, such as acquiring high-value users for Fetch.\nOwn the measurement frameworks that connect ad exposure to verified conversions using Fetch data, and turn one-off analyses into repeatable, scalable products.\nDrive the application of causal inference and experimental design to establish whether advertising drove outcomes.\nChampion our methodology with customers, partners, and industry leaders, anticipating the challenges they will raise.\nEstablish our approach as a trusted market standard through clear documentation and evangelism.\nAlign senior leaders around clear, decisive recommendations on strategy and tradeoffs.\nDevelop strong partnerships across product, engineering, and Go-to-Market teams, including sales and business development.\nCarry work from prototype to production alongside ML engineering, data engineering, and platform teams.\nSpot gaps others haven't, build alignment across stakeholders, and sustain momentum on long-running initiatives.\nMinimum Qualifications:\n8+ years of total experience in data science or applied statistics, including 3+ years of industry experience building ads platform capabilities, such as audience products or measurement systems.\nStrong statistical foundation, with deep expertise in causal inference and advertising measurement.\nHands-on experience building and architecting predictive modeling systems for advertising as well as relevance and ranking systems.\nExperience building systems that run beyond a prototype, with the ability to partner with engineering to take them into production.\nExperience leading or mentoring other data scientists, including setting technical direction and reviewing the quality of their work.\nExperience leveraging modern analytics tooling such as Python, SQL, Snowflake, and dbt.\nA clear track record of influencing senior leadership and partnering with product and engineering stakeholders.\nClear and decisive written and verbal communication, including the ability to explain complex methodology to non-technical audiences.\nDemonstrated initiative in identifying problems others haven’t and driving them to resolution across teams.\nDemonstrated ability to evaluate AI tools critically and apply them where they meaningfully improve results.\nBachelor’s degree in a quantitative field.\nPreferred Qualifications:\nAdvanced degree in a quantitative discipline.\nExperience with off-platform and programmatic advertising or identity.\nExperience defending measurement or audience methodology in conversations with external customers or industry partners.\nExperience partnering with GTM, sales, or business development teams.\nExperience with retail or CPG purchase data.\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 di...","description_format":"text","description_chars":12206,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"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":"2026-10-21T23:11:31Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":6,"expected_fill_days":53,"reasons":["conf:0","stale_co","velocity","win:early"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/fetch-staff-data-scientist-product-2","json_url":"https://alion.io/job/fetch-staff-data-scientist-product-2.json","meta":{"generated_at":"2026-10-24T01:42:40Z","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":2789,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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-staff-data-scientist-product-2"},{"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-staff-data-scientist-product-2"},{"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-staff-data-scientist-product-2"},{"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-staff-data-scientist-product-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffetch-staff-data-scientist-product-2"}]}