Senior Data Scientist I, Core

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $159.9k - $188.2k / 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

• Own a company-wide KPI, modeling, or measurement workstream through delivery and adoption • Contribute to the core company KPI framework, 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 observational causal methods with diagnostics and robustness checks • Build reproducible diagnostics and analytical tools grounded in certified data • Evaluate accuracy, adoption, and sustained value of analytical outputs • Build reproducible, tested analytical workflows in SQL and Python • Partner with Data Engineering on gold tables, data marts, and semantic layers • Partner with Product and Engineering to drive adoption • Make actionable recommendations and communicate sensitivity, assumptions, and uncertainty • Document and share reusable methods

🎯 Requirements

• 5+ years of experience in data science, machine learning, or applied analytics • Demonstrated ownership of complex analytical problems in product-driven environments • Experience working with multiple stakeholders to define KPIs and their hierarchy • Ability to structure complex spaces into tackleable project plans • Track record 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 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 documenting and sharing reusable methods • Understanding of experimentation methodology sufficient to identify patterns, concerns, and frameworks supporting product data scientists

🏖️ Benefits

• Equity for full-time employees • 401(k) matching dollar for dollar up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including pets • $10,000 per year in education reimbursement • Employee Resource Groups and Inclusion Council participation • 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 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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