Senior Data Scientist II, Ranking & Relevance

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $183.7k - $216.1k / 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 the data science strategy and roadmap for ranking and relevance • Partner with engineers to improve ranking models end to end • Own experiment design and turn results into launch recommendations • Design marketplace measurement accounting for bias and advertiser interference • Apply observational methods when experiments are not possible • Build frameworks balancing advertiser, user, and platform value • Distinguish incremental gains from value shifted across advertisers, surfaces, or time periods • Measure impacts across user and advertiser segments • Shape targeting and investment strategy while accounting for uncertainty • Quantify commercial impact for senior leadership priorities and product decisions • Translate business goals into measurable objectives and ranking improvements • Communicate with technical and non-technical partners • Mentor others and build reusable scientific methods • Use Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS for analytical work

🎯 Requirements

• 8+ years of experience in data science, machine learning, or applied analytics • Experience owning analytical roadmaps and experiments for ranking, relevance, or recommendations • Experience prioritizing analytical work and explaining declined work • Cross-functional collaboration with product, sales, and engineering • Experience defining marketplace KPI frameworks and resolving advertiser–user–platform trade-offs • Experience evaluating effects on overall marketplace economics beyond a single metric • Experience designing measurement accounting for selection bias, shared budgets, or spillovers • Ability to defend experiment design and assumptions, including selection bias, interference, or observational identification • Demonstrated incremental, persistent business impact • Track record of influencing strategy or launch decisions • Experience redirecting, pausing, or stopping initiatives based on quantified trade-offs • Experience building reusable analytical assets and mentoring analysts or scientists • Strong modeling expertise • 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 • Preferred: substantial experience with advertiser-funded consumer marketplaces, retail media, or ad platforms • Preferred: experience in ad ranking or product search and ranking • Preferred: consumer product analytics experience connecting behavior to retention and monetization

🏖️ Benefits

• Equity for full-time employees • 401(k) dollar-for-dollar matching up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including pets • $10,000 per year in education reimbursement • Employee Resource Groups • 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 employees welcoming new family members • Flexible work environment • Hardware and software provided for remote work

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