Senior Data Scientist II – Relevance & Ranking

🔥 2 hours ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 CA$186.4k - CA$219.3k / 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 as the team's dedicated data scientist • Partner closely with engineers to improve ranking models end to end, from defining what the model should optimize through experimentation • Own experiment design and turn results into clear launch recommendations • Design measurement that holds up in a marketplace, where bias and interference between advertisers can distort results • Apply rigorous observational methods when experiments aren't possible, and defend the assumptions behind them • Build marketplace frameworks that balance advertiser, user, and platform value with clear success criteria and guardrails for the trade-offs • Separate true incremental gains from value that's simply shifted between advertisers, surfaces, or time periods • Measure how changes impact different user and advertiser segments, distinguishing durable value from short-term lift • Use findings to shape targeting and investment strategy, accounting for uncertainty • Quantify commercial impact to guide senior leaders on priorities and product decisions • Serve as the core data science partner to commercial and offer teams, turning business goals into measurable objectives and ranking improvements • Communicate with technical and non-technical partners alike • Mentor others and build reusable methods that raise the team's scientific quality and execution • Leverage Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work

🎯 Requirements

• 8+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments • Experience owning the analytical roadmap and experiments for ranking, relevance, or recommendations • Ability to explain which questions you prioritized, which work you declined, and why • Cross-functional collaboration experience where product, sales, and engineering are all factors in your daily work • Experience defining a marketplace KPI framework and resolving advertiser–user–platform trade-offs • Track record of looking beyond a single metric's improvement to its effect on overall marketplace economics • Experience designing measurement that accounts for selection bias, shared budgets, or spillovers • Ability to defend experiment design and its assumptions, addressing selection bias, interference, or observational identification • Demonstrated incremental, persistent business impact • Track record of influencing strategy or launch decisions • Examples of redirecting, pausing, or stopping initiatives based on quantified trade-offs • Experience building reusable analytical assets and mentoring other analysts or scientists • Strong modeling expertise • Strong proficiency in SQL and at least one programming language, preferably Python • Experience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark • Substantial experience with advertiser-funded consumer marketplaces, retail media, or ad platforms balancing advertiser, user, and platform incentives (preferred) • Experience in ad ranking or product search and ranking (preferred) • Consumer product analytics experience connecting behavior to retention and monetization (preferred) • Appropriate work authorization for employment in Canada (excluding Quebec) or the United States

🏖️ 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. • Benefits for humans and pets: We offer 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: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership. • Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles) • Robust Leave Policies: 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. • Calvin Care Cash: Employees who are welcoming new family members will also receive a one-time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers, and much more! • Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US for US-based roles. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)

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