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# Data Science

- **Company:** TaskRabbit
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $170,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Python (Programming Language), Machine Learning, SQL Databases, Git, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** July 29, 2026
- **Apply:** https://job-boards.greenhouse.io/taskrabbit/jobs/7651557

## About the Role

* 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; previous experience in a marketplace or fintech company is a plus
 * Strong and relevant experience with advanced experimentation and statistical modeling; you have past experience with fraud/risk models in a marketplace/fintech context
 * 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.

## Description

Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Staff Data Scientist to join us, working closely with cross-functional teams from product, finance, engineering, risk and operations to provide data-driven insights and solutions that enhance our products and accelerate growth while minimizing marketplace losses.

What you will work on

 * Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and 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 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. These efforts will be focused on enhancing financial performance by mitigating issues such as chargebacks, fraud, transaction declines, and refunds.
 * Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.


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