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Staff Data Scientist

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Onsite

Staff Data Scientist

Taskrabbit

Staff Data Scientist

Skills

SQL QueriesPythonData ScienceData AnalysisMachine Learningdbt

1 month ago

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Important information


Salary:

$170,000 – $225,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

28 September 2026

What they need


Who you are

  • BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field)
  • A minimum of 7 years industry experience in data science
  • Strong and relevant experience with advanced experimentation and statistical modeling
  • Excellent analytical and problem-solving skills
  • Excellent business acumen and strategic thinking skills, especially in a commerce/risk domain
  • Expert in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git. Bonus points for experience in productionizing ML models and familiarity with ML Ops
  • A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact
  • Ability to communicate complex data findings in a clear and concise manner to an executive audience

What the job involves

  • Data Science plays a crucial role in driving impact at Taskrabbit
  • We are seeking a highly skilled and motivated Staff Data Scientist to join us, working closely with cross-functional teams from Product teams and occasionally Commercial Operations to provide data-driven insights and solutions that enhance our products and accelerate growth while minimizing marketplace losses
  • Be a strategic thought partner with stakeholders in Product and occasionally Commercial Operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner
  • Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers with a focus on Product
  • Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences
  • Lead central Data Science initiatives, e.g. experimentation system, building data agents, influencing eventing systems, etc
  • Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation

Benefits

  • Remote first and highly connected
  • Employee-covered health care
  • 401k with match
  • Flexible PTO
  • Paid holidays & recharge weeks
  • Wellbeing allowance and free access to HeadSpace and Spring Health
  • Paid parental leave, adoption assistance, and reproductive health assistance
  • Speaker series, career paths, and an annual education allowance
  • IKEA discount, Taskrabbit credit, and productivity stipend

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