Staff Data Scientist

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. 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.

Responsibilities

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; Enhance 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

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 industry experience in data science; Strong and relevant experience with advanced experimentation and statistical modeling; 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; 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; Must be legally authorized to work in the United States without employer sponsorship now or in the future

Nice to have

Previous experience in a marketplace or fintech company; Experience in productionizing ML models; Familiarity with ML Ops

Benefits

Employer-paid health insurance; 401k match with immediate vesting for US based employees; Generous and flexible time off with 2 company-wide closure weeks; Taskrabbit product stipends; Wellness, productivity, and education stipends; IKEA discounts; Reproductive health support