Senior Data Scientist II, Core & Agentic Automation

🔥 51 minutes ago

🇺🇸 United States – Remote

💵 $183.7k - $216.1k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Fetch

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

👥 B2C

📣 Marketing

🔥 Funding within the last year

💰 Later Stage VC on 2026-05

B2C • Marketing

Fetch is a consumer mobile rewards app that lets users scan receipts to earn points that can be redeemed for gift cards and other rewards. The app awards points for everyday purchases (groceries, fuel, meals, games, etc. ), offers in-app games and promotions, and provides a business-facing offering (Fetch for Business) and browser extension. Fetch reports millions of monthly earners, millions of app reviews, and over $1B in rewards redeemed. The service emphasizes easy receipt scanning, point accumulation, and low-effort rewards for shoppers.

📋 Description

• Define core data science priorities across teams and decide which questions and investments to pursue or decline • Help deliver the core company KPI framework, including its driver tree and sensitivity modeling • Lead reusable, company-wide analytical frameworks and automation • Design, build, evaluate, and maintain agentic analytical workflows using certified metrics to investigate KPI changes, generate evidence-backed hypotheses, and support follow-up analysis • Implement monitoring, failure handling, and human review where needed • Design reusable frameworks with evaluation and evidence traceability • Set definitions and targets for certified metrics and resolve conflicting definitions with partners • Build KPI trees and decompositions connecting product and business drivers to MAU, retention, ARPU, revenue, and margin • Choose defensible models and quantify KPI-to-North-Star relationships • Validate leading indicators out of sample and distinguish arithmetic identities, predictive associations, and causal effects • Build scenarios and defensible team targets • Set measurement standards and defend identification assumptions • Select observational methods when needed, using diagnostics and robustness checks • Measure accuracy, adoption, reduced bespoke analysis, and time to decision • Build reproducible, tested analytical workflows in SQL and Python • Partner with Data Engineering on gold tables and data marts • Shape leadership strategy and team accountability • Align Finance and Product on targets, trade-offs, and evidence-based changes • Partner with Product, Finance, Commercial, and Engineering to drive adoption • Communicate assumptions and uncertainty clearly • Mentor scientists and establish reusable KPI, measurement, and modeling standards adopted across teams

🎯 Requirements

• 8+ years of experience in data science, machine learning, or applied analytics • Demonstrated ownership of complex analytical problems in product-driven environments • Ability to explain prioritization or rejection of questions and investments and their impact on planning or investment decisions • Ability to define KPIs and their hierarchy with multiple stakeholders • Ability to structure complex spaces into tackle-able plans • Experience establishing trusted metric definitions adopted across Product, Finance, Commercial, and Engineering • Track record aligning Finance and Product on targets, trade-offs, and evidence-based changes • Experience selecting and validating statistical, predictive, and causal models for business planning • Experience with regression, forecasting, sensitivity analysis, and uncertainty estimation • Skilled in target setting and scenario planning while distinguishing prediction from causal impact • Ability to set measurement standards and defend identification assumptions when randomization or causal evidence is limited • Enough experimentation knowledge to support product data scientists • Strong skills in SQL, Python, statistics, causal inference, and forecasting • Track record of shipping reusable dashboards, diagnostic apps, or analytical frameworks with proven accuracy, adoption, and decision impact • Experience partnering on productionization of robust SQL/Python assets • History of mentoring scientists and establishing KPI, measurement, or modeling standards • Hands-on experience automating systems with AI, including personally building and shipping agentic automation used in real analytical or business workflows • Ability to explain contribution and how an agentic system retrieves data, uses tools, and completes tasks • Proven approach to evaluating agentic systems for numerical and analytical accuracy, traceability, failure handling, and adoption • Preferred: Consumer product analytics experience connecting acquisition, activation, engagement, retention, and monetization • Preferred: Experience owning KPI frameworks, causal measurement, or business planning across multiple teams • Preferred: Experience in centralized or platform data science • Preferred: Experience with governed self-service analytics

🏖️ Benefits

• Equity for full-time employees • 401(k) dollar-for-dollar match up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including pets • $10,000 per year in education reimbursement • Employee Resource Groups • Flexible PTO • 9 paid holidays • Year-end week-long break • 14 weeks of fully paid parental leave • 6 additional weeks of paid childbirth recovery leave for birthing parents • Flexible return-to-work schedule • One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members • Flexible work environment with remote work options • Hardware and software provided for remote work

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