
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.
🔥 3 hours ago
🇺🇸 United States – Remote
💵 $159.9k - $188.2k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Fetch Rewards's careers page, not through a job board
First seen by Remote Rocketship 3 hours ago
Still open on Fetch Rewards's site. Checked 10 minutes ago.

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.
• 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 whether to launch, iterate, or stop based on effect size, uncertainty, user value, and business impact. • Turn ambiguous product questions into structured analysis and connect metric movements to behavioral drivers. • Use product analytics to understand user journeys, retention drivers, and downstream outcomes. • Evaluate effects across user segments and distinguish novelty from persistent long-term value. • Develop predictive models for lifecycle intervention systems and partner with Engineering to integrate predictive signals. • Use audience segments and predictive signals to tailor treatments and validate improvements in 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.
• 5+ years of experience in data science, machine learning, or applied analytics, with 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 user benefits and persistence of gains. • 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. • 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.
• Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth. • 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay. • Benefits for humans and pets: comprehensive medical, dental, and vision plans, including pets. • Continuing Education: ten thousand per year in education reimbursement. • Employee Resource Groups centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. • Paid Time Off: flexible PTO, 9 paid holidays, and a year-end week-long break. • 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. • One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members. • Flexible work environment with remote work from anywhere in the US for US-based roles. • Hardware and software provided for home working.
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