Senior Data Scientist – Monetization

🔥 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 own a defined audience or measurement product from problem framing through delivery • Translate advertiser goals and purchase behavior into audience definitions, labels, and predictive models • Build and validate statistical expansion beyond Fetch users • Test quality, calibration, and reach on held-out populations while distinguishing observed purchases from inferred propensity • Combine receipt, partner, panel, survey, and contextual data into reliable datasets • Account for linkage uncertainty, missingness, and coverage, applying weighting or calibration where warranted • Design studies linking ad exposure to receipt-observed purchases, using experiments when feasible and observational methods when necessary • Check receipt coverage, exposure matching, selection bias, and uncertainty • Keep attribution and incrementality distinct • Turn customer problems into scoped products with clear success criteria and launch recommendations • Balance audience quality, reach, advertiser value, user value, revenue, and cost • Feed campaign outcomes back into audiences and models using holdouts and fresh data • Partner with Sales and GTM to shape pilots and explain product value, methods, and limitations • Build reproducible datasets, analyses, and validation checks • Partner with Product, Engineering, and ML engineers to move prototypes into production • Document methods, share reusable code, and pass knowledge to the team • Collaborate with customers to explain what products do, why they work, and their limitations

🎯 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 an audience, measurement, or data product from an ambiguous question through delivery and a business decision • Track record of regularly working with product, engineering, and commercial partners • Ability to clearly explain customer needs and personal contributions • Experience building useful datasets from fragmented, incomplete, or biased sources and assessing their validity • Strong population inference skills • Experience building propensity or audience models and validating population coverage, calibration, and measured outcomes • Hands-on causal inference experience, including defensible experiments or observational studies • Strong SQL, Python, applied statistics, and predictive modeling skills • Habit of building reusable, reproducible assets • Ability to explain scientific findings clearly to nontechnical and customer audiences • Sound judgment about when to work independently and when to seek review • Applied experience in monetization data science, audience development, advertising measurement, market research, or consumer panels is strongly preferred • Experience with panel, survey, consumer research, or purchase data is preferred • Background in political science, survey methodology, econometrics, demography, or another quantitative field is preferred • Appropriate work authorization for the United States or Canada, as applicable

🏖️ Benefits

• Equity for full-time employees • 401(k) contribution matching dollar for dollar, up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including pets • Ten thousand 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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