Staff Data Scientist

Taskrabbit is a marketplace platform that connects people with Taskers to handle everyday home tasks, such as furniture assembly, handyman work, moving help, and more. We aim to transform lives one task at a time, celebrating innovation, inclusion, and hard work. Our culture is collaborative, pragmatic, and fast-paced, and we’re looking for talented, entrepreneurially minded, and data-driven individuals who are passionate about helping people. Together with IKEA, we create opportunities for people to earn a consistent, meaningful income on their own terms. Taskrabbit is a hybrid company with employees distributed across the US and EU, recognized as a Best Places to Work (2022–2025).

About the role

Data Science plays a crucial role in driving impact at Taskrabbit. As a Staff Data Scientist, you will work closely with cross-functional teams—including product, finance, engineering, risk, and operations—to provide data-driven insights and solutions that enhance our products, accelerate growth, and minimize marketplace losses.

Responsibilities

• Act as a strategic thought partner with stakeholders from product, risk, finance, engineering, and operations to define high-impact analytical problems and solve them using advanced 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 commerce and risk.
• 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.
• Design, develop, and scale proactive fraud interventions using heuristic and/or machine learning models to enhance financial performance by mitigating chargebacks, fraud, transaction declines, and refunds.
• Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.

Requirements

• 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 of industry experience in data science; previous experience in a marketplace or fintech company is a plus.
• Strong experience with advanced experimentation and statistical modeling; prior experience with fraud/risk models in a marketplace/fintech context.
• Excellent analytical and problem-solving skills, along with strong business acumen and strategic thinking 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.
• Self-starter with the ability to work independently and drive projects end-to-end, demonstrating a track record of strong business impact.
• Ability to communicate complex data findings clearly and concisely to an executive audience.
• Legally authorized to work in the United States without employer sponsorship now or in the future (no visa sponsorship available for this position).

Schedule

This role is hybrid, requiring 2 days in-office at our San Francisco hub every Tuesday and Wednesday (located at 130 Sutter St, San Francisco, CA).

Pay

The base pay range for this position is $170,000 – $225,000. This range represents base pay only and does not include other total cash compensation such as company bonus or benefits. Final offer amounts may vary based on factors including relevant experience, qualifications, geography, and level.

Benefits

• Employer-paid health insurance and a 401k match with immediate vesting for US-based employees.
• Generous and flexible time off, including 2 company-wide closure weeks.
• Taskrabbit product stipends, wellness, productivity, and education stipends.
• IKEA discounts and reproductive health support.
• Benefits vary by country of employment.