Staff Data Scientist – Platform

🔥 5 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 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

• Define and own Fetch's company-level measurement framework anchored in MAU × ARPU. • Establish decision frameworks for pricing, incentives, and value trade-offs. • Set standards for evidence quality, uncertainty, and confidence in decision-making. • Define the causal reasoning model used across product, growth, marketing, and finance. • Own the scientific capability roadmap, including elasticity, value curves, marketing mix modeling, and forecasting. • Architect the semantic mart and metric logic powering FetchGPT and scalable insights. • Define canonical metric definitions across experimentation platforms, dashboards, and diagnostics. • Partner with Analytics Engineering and Data Platform to build foundational data assets. • Establish BI standards and eliminate redundant or conflicting dashboards. • Serve as the quality bar for high-impact analytics and diagnostics. • Review strategic analyses and validate high-risk pricing and incentive tests. • Ensure observational and experimental results reconcile cleanly. • Create templates and interpretation guides to standardize rigor. • Own cross-company models for marketing mix, elasticity, incentive sensitivity, value expectation curves, strategic forecasting, and financial mechanisms supporting MAU × ARPU planning. • Raise scientific maturity across the data science and analytics organization. • Design upskilling programs in statistics, causality, modeling, and storytelling. • Author best-practice modeling libraries and documentation. • Serve as a technical anchor and thought partner for senior individual contributors. • Establish norms for rigorous, transparent, mechanism-driven insights. • Apply advanced statistical and causal methods to company-level problems. • Build scalable, production-ready analytical frameworks with engineering. • Champion experimentation design, model validation, and reproducibility best practices. • Leverage Python, SQL, Snowflake, dbt, and experimentation platforms.

🎯 Requirements

• 8+ years of experience in data science, economics, statistics, or applied research, including experience operating at Staff or Principal scope on company and/or org-level problems. • Deep expertise in causal inference, experimental design, and observational analysis. • Demonstrated ownership of high-stakes business decisions informed by causal evidence. • Experience defining and owning company-level measurement frameworks, canonical metrics, or strategic models used by senior leadership. • Proven ability to influence and support executive decision-making, including presenting trade-offs, uncertainty, and recommendations that directly impact strategy. • Exceptional written and verbal communication skills, with the ability to explain complex causal and modeling concepts to non-technical senior audiences. • Bachelor's degree in a quantitative field. • Hands-on experience with Python, SQL, Snowflake, dbt, and experimentation platforms. • Preferred: advanced degree in a quantitative discipline. • Preferred: experience with strategic models such as marketing mix models, elasticity estimates, incentive sensitivity, or long-range forecasts. • Preferred: experience in large-scale consumer products, marketplaces, ad-supported platforms, or incentive-driven systems. • Preferred: experience in ads ranking, relevance, retrieval, recommendation, personalization, ad measurement, attribution, incrementality, optimization, semantic layers, metric governance, or data contracts. • Preferred: org-wide scientific leadership without direct people management.

🏖️ Benefits

• 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. • Comprehensive medical, dental, and vision plans for everyone, including your pets. • Continuing Education: Fetch provides ten thousand per year in education reimbursement. • Employee Resource Groups centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. • 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 incentive for employees welcoming new family members to assist with childcare and related costs. • Flexible work environment: work fully remotely from anywhere in the US for US-based roles. • Hardware and software provided for working from home.

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