Staff Data Scientist – Platform

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Define and take ownership of Fetch's overarching measurement framework based on MAU × ARPU.

• Develop decision-making frameworks related to pricing, incentives, and value trade-offs.

• Establish standards for evidence quality, uncertainty, and confidence in the decision-making process.

• Create the causal reasoning model utilized across product, growth, marketing, and finance teams.

• Manage the scientific capability roadmap, which includes elasticity, value curves, marketing mix modeling, and forecasting.

• Design the semantic mart and metric logic that supports FetchGPT and scalable insights.

• Establish canonical metric definitions and harmonize logic across experimentation platforms, dashboards, and diagnostics.

• Collaborate with Analytics Engineering and Data Platform to develop foundational data assets.

• Set BI standards and eliminate redundant or conflicting dashboards.

• Act as the quality benchmark for high-impact analytics and diagnostics.

• Review strategic analyses for accurate interpretation and alignment of mechanisms.

• Define scientific rules for experimentation and validate high-risk pricing and incentive tests.

• Ensure that observational and experimental results align cleanly.

• Create templates and interpretation guides to standardize rigor in analytics.

• Own cross-company models that influence executive decisions, encompassing marketing mix modeling, elasticity and incentive sensitivity, value expectation curves, strategic forecasting, and financial mechanism models.

• Enhance the scientific maturity of the data science and analytics organization.

• Design upskilling initiatives in statistics, causality, modeling, and storytelling.

• Write best-practice modeling libraries and documentation.

• Serve as a technical anchor and thought partner for senior individual contributors.

• Establish norms for rigorous, transparent, and mechanism-driven insights.

• Utilize advanced statistical and causal methods to tackle company-level challenges.

• Develop scalable, production-ready analytical frameworks in collaboration with engineering teams.

• Advocate for experimentation design, model validation, and reproducibility.

• Utilize Python, SQL, Snowflake, dbt, and experimentation platforms effectively.

⛳️ Requirements

• Over 8 years of experience in data science, economics, statistics, or applied research, with a history of operating at Staff or Principal level on company or organization-wide issues.

• In-depth knowledge of causal inference, experimental design, and observational analysis.

• Proven ownership of critical business decisions informed by causal evidence.

• Experience in defining and managing company-level measurement frameworks, canonical metrics, or strategic models utilized by senior leadership.

• Demonstrated ability to influence and support executive decision-making by presenting trade-offs, uncertainties, and recommendations that directly affect strategy.

• Outstanding written and verbal communication skills, capable of explaining complex causal and modeling concepts to non-technical senior stakeholders.

• Bachelor’s degree in a quantitative field.

• Advanced degree in a quantitative discipline is preferred.

• Practical experience in owning and maintaining strategic models such as marketing mix models, elasticity estimates, incentive sensitivity, or long-range forecasts used in executive planning is preferred.

• Background in large-scale consumer products, marketplaces, ad-supported platforms, or incentive-driven systems with complex value trade-offs is preferred.

• Experience in ads ranking, relevance, retrieval, recommendation, or personalization systems is preferred.

• Familiarity with ad measurement, attribution, incrementality, experimentation, or optimization is preferred.

• Core experience with ads products/platforms is preferred.

• Experience in defining semantic layers, metric governance, or data contracts at scale across multiple teams or functions is preferred.

• Proven track record of organization-wide scientific leadership without direct people management is preferred.

• Must have appropriate work authorization for the United States or Canada, as applicable.

🏝️ Benefits

• Equity: full-time employees receive equity in Fetch.

• 401(k): dollar-for-dollar matching up to 4% of eligible pay.

• Comprehensive medical, dental, and vision plans, including coverage for pets.

• Continuing education reimbursement of $10,000 per year.

• Participation in Employee Resource Groups and the Inclusion Council.

• Flexible PTO.

• 9 paid holidays for US-based roles; holidays may 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, where applicable.