Senior Data Science Manager

7+ years of experience in data science, analytics, or a related quantitative field, with a proven track record of delivering impactful results.
3+ years of leadership experience, managing and scaling high-performance data science/analytics teams (5+ direct reports preferred).
Strong technical expertise in statistical methods, experiment design, and machine learning, with proficiency in SQL and at least one programming language (Python, R).
Experience with modern data platforms (AWS, GCP, Spark) and BI tools (Looker, Tableau) to support scalable analytics.
Exceptional communication and stakeholder management skills, with the ability to translate complex data insights into clear, actionable recommendations for diverse audiences, including executives.
Strategic mindset and business acumen, with a history of guiding data-driven product innovation and aligning initiatives with company goals.
Proven ability to influence cross-functional teams and drive alignment in a fast-paced environment, shaping product roadmaps through data-backed narratives.

Drive data-informed decision-making by synthesizing key insights that influence product roadmaps and strategic initiatives.
Serve as a trusted advisor to Product, Engineering, Design, Marketing, and Operations, translating complex analyses into actionable recommendations.
Define the long-term strategy for Taskrabbit’s Data Science organization, ensuring alignment with business objectives.
Hire, develop, and mentor a high-performing, diverse team of data scientists and analysts.
Lead the development and adoption of robust experimentation frameworks (A/B testing, multi-variant testing) to drive data-driven product improvements.
Partner with Engineering to build and maintain scalable data infrastructure that powers advanced analytics and research.
Balance short-term execution with long-term innovation, consistently measuring and reporting on the ROI of data science initiatives.

No preferred qualifications provided.