{"id":3042524,"url":"https://alion.io/job/fetch-senior-data-scientist-ii-core-agentic-automation-2","title":"Senior Data Scientist II, Core & Agentic Automation","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":140000,"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T19:10:33Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T09:35:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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 help Fetch run on rigorous performance standards and scalable self-service analytics. You'll help deliver our core company KPI framework, including its underlying model, while leading reusable, company-wide analytical frameworks and automation.\nThe work centers on trusted metrics: standardizing how impact is measured and connecting product and business drivers to outcomes like MAU, retention, ARPU, revenue, and margin. You'll establish governed self-service and agentic workflows that reduce bespoke work and improve decision speed while maintaining scientific quality.\nYou'll define core data science priorities across teams and set the KPI, measurement, and modeling standards others adopt. You'll shape leadership strategy, align Finance and Product on targets and trade-offs, and mentor scientists, partnering with cross-functional partners along the way.\nWhat You'll Do at Fetch:\nDefine core data science priorities across teams, deciding which questions and investments to pursue or decline\nHelp deliver our core company KPI framework, including its driver tree and sensitivity modeling\nLead reusable, company-wide analytical frameworks and automation\nEstablish governed self-service and agentic workflows that reduce bespoke work and improve decision speed while maintaining scientific quality\nDesign reusable frameworks with evaluation and evidence traceability\nSet definitions and targets for certified metrics with owners, and resolve conflicting definitions with partners\nBuild KPI trees and decompositions that connect product and business drivers to MAU, retention, ARPU, revenue, and margin\nChoose defensible models and quantify the direction, sensitivity, predictive strength, and time horizon of KPI-to-North-Star relationships\nValidate leading indicators out of sample, distinguishing arithmetic identities, predictive associations, and causal effects\nBuild scenarios and defensible team targets\nSet measurement standards and defend identification assumptions, guiding decisions when randomization or causal evidence is limited\nSelect observational methods when needed, using diagnostics and robustness checks\nMeasure accuracy, adoption, reduced bespoke analysis, and time to decision\nBuild reproducible, tested analytical workflows in SQL and Python\nPartner with Data Engineering on gold tables and data marts\nShape leadership strategy and team accountability, aligning Finance and Product on targets, trade-offs, and when evidence warrants a change\nPartner with Product, Finance, Commercial, and Engineering to drive adoption\nCommunicate assumptions and uncertainty clearly\nMentor scientists and establish reusable KPI, measurement, and modeling standards adopted across teams\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\nAbility to explain which questions and investments you prioritized or declined, and how quantified KPI relationships changed planning or investment decisions\nProven ability to define KPIs and their hierarchy with multiple stakeholders, structure complex spaces into tackle-able plans, and establish trusted metric definitions adopted across Product, Finance, Commercial, and Engineering\nTrack record of aligning Finance and Product on targets, trade-offs, and when evidence warrants a change\nDeep expertise building and validating ML models, including regression, causal inference, and graph models, that connect user behavior and business drivers to retention, monetization, or company outcomes\nSkilled at using models for target setting and scenario planning while distinguishing prediction from causal impact\nDemonstrated ability to set measurement standards and defend identification assumptions when randomization or causal evidence is limited, with enough experimentation knowledge to support product data scientists\nStrong skills in SQL, Python, statistics, causal inference, and forecasting\nTrack record of shipping reusable dashboards, diagnostic apps, or analytical frameworks with proven accuracy, adoption, and decision impact, and partnering on productionization of robust SQL/Python assets\nHistory of mentoring scientists and establishing KPI, measurement, or modeling standards that raise quality across teams\nHands-on experience automating systems with AI, including personally building and shipping agentic automation used in real analytical or business workflows, whether in production or with internal users\nAbility to explain your contribution and how the system retrieves data, uses tools, and completes tasks\nProven approach to evaluating agentic systems for numerical and analytical accuracy, traceability, failure handling, and adoption, and reusing that approach beyond a single demo or one-off analysis\nPreferred Qualifications:\nConsumer product analytics experience connecting acquisition, activation, engagement, retention, and monetization\nExperience owning KPI frameworks, causal measurement, or business planning across multiple teams\nExperience in centralized or platform data science\nExperience with experimentation platforms\nExperience with governed self-service analytics\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:\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 [CA$186,405 - CA$219,300]. 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. 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