Senior Data Scientist – Growth & Engagement

🔥 2 hours 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 Rewards

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

🍽️ Food & Beverage

📦 Logistics

💰 Debt Financing on 2022-04

Consulting • Food & Beverage • Logistics

Fetch Rewards is a company that operates America's Rewards App, leveraging the power of Fetch Points to drive consumer behavior and engagement across various industries, including Consumer Packaged Goods (CPG), retail, and restaurants. By offering custom-fit marketing solutions, Fetch helps brands increase sales, improve retention, and build lifelong consumer loyalty without relying on discounts. The platform offers dynamic in-app offers based on verified shopping behavior, designed to inspire specific business outcomes and increase customer engagement. Fetch Rewards partners with major brands and retailers, providing a robust data-driven approach to enhance buying frequency and customer retention.

📋 Description

• Independently design, execute, and interpret product experiments for feature development, including power analysis, primary metrics, and guardrails • Frame causal questions by defining populations, outcomes, and time horizons • Define KPI frameworks linking product objectives to primary, secondary, and guardrail metrics • Recommend launch, iterate, or stop based on effect size, uncertainty, user value, and business impact • Turn ambiguous product questions into structured, credible analysis • Connect metric movements to behavioral drivers and assess alternative explanations • Use product analytics to understand user journeys and retention drivers • Evaluate effects across user segments and distinguish novelty from persistent long-term value • Develop predictive models for lifecycle intervention systems • Partner with Engineering to integrate predictive signals into treatment delivery • Use experiments to determine whether targeting improves retention, monthly active users, and revenue • Build narratives translating findings into product action and influence priorities and launch decisions • Produce reusable analyses and share analytical knowledge across the team • Use Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to build reliable analyses and modeling workflows • Collaborate with Product, Engineering, and Design to shape KPIs, success criteria, guardrails, and product decisions

🎯 Requirements

• 5+ years of experience in data science, machine learning, or applied analytics • Demonstrated ownership of complex analytical problems in product-driven environments • Experience owning experiment design end to end, including power analysis, primary metrics, and guardrails • Track record of using experiment results to recommend launching, iterating, or stopping • Ability to frame causal questions and distinguish prediction from causal impact • Experience defining KPI frameworks for a product workstream • Track record of influencing launch or roadmap decisions with quantified impact and clear personal ownership • Experience identifying retention drivers and evaluating which users benefited and whether gains persisted • Experience applying predictive models to segment users or inform lifecycle interventions • Strong proficiency in SQL and at least one programming language, preferably Python • Experience with large-scale data systems such as Snowflake, dbt, Airflow, or Spark • Ability to communicate assumptions and uncertainty clearly • Appropriate work authorization • Preferred: product analytics experience in a consumer app or digital product • Preferred: experience evaluating incentives, lifecycle interventions, or personalization • Preferred: experience validating targeted treatments • Preferred: track record of sharing reusable analyses and knowledge

🏖️ 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 pet coverage • $10,000 per year in education reimbursement • Employee Resource Groups and Inclusion Council participation • 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 Calvin Care Cash incentive for employees welcoming new family members • Flexible work environment • Hardware and software provided for remote work

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