Senior Data Science Manager

Fetch

1d•Remote

About The Position

Fetch is looking for a 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 pillar, partnering closely with Product and Engineering to shape priorities, guide technical strategy, and ensure the team is delivering meaningful business outcomes. This is a hands-on leadership role for someone who can operate strategically and technically. You will help the team navigate ambiguity, break down broad problem spaces into clear analytical approaches, and drive high-quality work that informs product direction. You should be comfortable coaching data scientists on experimentation, modeling, and stakeholder communication, while also evaluating technical proposals and presenting recommendations to senior leadership. The ideal candidate brings strong people leadership, deep data science expertise, and the ability to influence cross-functional partners at a high level. This person will play a key role in helping Fetch continue to build a strong, high-impact generalist data science organization.

Requirements

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.

Nice To Haves

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 driving strategic decision-making across cross-functional stakeholders.
Prior hands-on experience as a data scientist, with a strong preference for candidates who have directly led data science work.
Experience mentoring generalist data science teams across a broad range of product and business problem spaces.

Responsibilities

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.