Senior Data Scientist – Core

🔥 17 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 CA$162.3k - CA$191k / 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

• Independently own a company-wide KPI, modeling, or measurement workstream through delivery and adoption • Contribute to the core company KPI framework, including its driver tree and sensitivity model • Contribute analysis to planning and points allocation • Define 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 • Model KPI drivers and quantify direction, sensitivity, predictive strength, and time horizon of KPI-to-North-Star relationships • Distinguish arithmetic identities, predictive associations, and causal effects • Build scenarios and translate company goals into workstream targets • Apply established observational causal methods with diagnostics and robustness checks, making identification assumptions explicit • Build reproducible diagnostics and analytical tools grounded in certified data • Evaluate the accuracy, adoption, and sustained value of deliverables • Build reproducible, tested analytical workflows in SQL and Python • Partner with Data Engineering on gold tables, data marts, and semantic layers • Partner cross-functionally with Product and Engineering teams to drive adoption • Make actionable recommendations and communicate sensitivity, assumptions, and uncertainty clearly • Document and share reusable methods

🎯 Requirements

• 5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments • Experience working with multiple stakeholders to define KPIs and their hierarchy • Ability to structure a complex space into a tackle-able project plan • Track record of establishing trusted metric definitions and driving adoption across Product, Finance, Commercial, and Engineering • Experience building and validating models connecting user behavior and business drivers to retention, monetization, or company outcomes • Ability to show sensitivity estimates, leading indicators, time horizons, and out-of-sample predictive performance • Experience using models in target setting or scenario planning while distinguishing prediction from causal impact • Experience with ML modeling, including regression, causal inference methodology, and graph models • Experience modeling multi-metric relationships • Strong skills in SQL, Python, statistics, causal inference, and forecasting • Track record of shipping reusable dashboards, diagnostic apps, or analytical frameworks with evidence of accuracy, adoption, and decision impact • Experience building robust SQL/Python analytical assets and partnering on productionization • Track record of documenting and sharing reusable methods • Understanding of experimentation methodology sufficient to identify patterns, concerns, and frameworks that support product data scientists • Appropriate work authorization for the United States or Canada, as applicable

🏖️ Benefits

• Equity for full-time employees • 401(k) with dollar-for-dollar matching up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including pets • Ten thousand per year in education reimbursement • Employee Resource Groups • Flexible PTO • 9 paid holidays (holidays vary for Canada-based roles) • 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 incentive for employees welcoming new family members to assist with childcare and related costs • Flexible Work Environment • Hardware and software provided for remote work

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