Senior Data Science Manager

Fetch is looking for a Senior Data Science Manager to lead a team of data scientists and analysts focused on high-impact product and business problems across the consumer app experience. In this role, you will serve as the data lead for a product pillar, partnering closely with Product and Engineering to shape priorities, guide technical strategy, and ensure the team is delivering meaningful business outcomes.

• Lead, coach, and develop a team of data scientists focused on high-impact product and business opportunities.
• Provide clear feedback, support career growth, and create an environment that enables strong performance, healthy team dynamics, and continued development.
• Support hiring, onboarding, and team growth while contributing to the broader evolution of Fetch’s data science organization.

• Serve as the data lead for a product pillar, partnering closely with Product and Engineering to shape priorities and influence strategic direction.
• Translate ambiguous business and product questions into clear analytical roadmaps that drive measurable impact across user growth, customer value, revenue, and product performance.
• Ensure the team’s work is aligned to broader business goals and meaningfully informs product roadmap decisions.

• Guide the team in experimentation, measurement, statistical analysis, causal inference, and predictive modeling with a high bar for rigor and practical application.
• Evaluate analytical strategies, technical proposals, and team outputs to ensure work is high quality, actionable, and grounded in strong scientific thinking.
• Help break down broad problem spaces into clear technical approaches and support execution from concept through impact.

• Partner closely with Product, Engineering, Analytics, Marketing, and business leaders to turn insights into decisions, systems, and shipped outcomes.
• Communicate findings, recommendations, and tradeoffs clearly to senior and executive leadership to influence direction and drive alignment.
• Create clarity in ambiguous, fast-moving environments by setting priorities, managing dependencies, and protecting the team from unnecessary thrash.

• Establish strong standards for quality, prioritization, and execution across the team’s work.
• Balance speed and rigor by making thoughtful tradeoffs that maintain momentum while protecting scientific quality.
• Contribute to a strong generalist data science organization through improvements to team operations, planning, and ways of working.

• 6+ years of experience in data science, applied analytics, or a related quantitative field.
• 1+ year of direct people management experience leading data scientists or other quantitative practitioners.
  
  Hands‑on experience in experimentation, statistical analysis, causal inference, measurement, and predictive modeling.
• Proven ability to partner cross‑functionally with Product and Engineering to define priorities and translate ambiguous business problems into clear analytical approaches.
• Demonstrated ability to connect technical work to measurable business outcomes such as revenue growth, user growth, engagement, retention, or customer value.
• Experience evaluating analytical approaches, guiding technical strategy, and driving high‑quality, actionable outputs.
• Strong written and verbal communication skills, including experience presenting findings and recommendations to senior stakeholders.
• Proficiency in SQL, Python, and modern data science workflows.

• Experience leading data scientists in a consumer product, marketplace, or growth‑focused environment.
• 2+ years of people management experience.
• Experience serving as the primary data lead for a product area, product pillar, or business domain.
• Track record of influencing product strategy and roadmap decisions through data‑driven recommendations.
• Experience operating effectively in highly ambiguous environments and creating structure, focus, and clarity for teams.
• MBA, consulting background, or comparable experience…