# Staff Data Scientist

Hiring organization: [Taskrabbit](https://career.thegoodapps.co/organizations/taskrabbit)

Canonical page: https://career.thegoodapps.co/jobs/fbd264e1-03b4-4d1e-ae7f-61ea144006e8

Listed on Taskrabbit's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Lead / Staff / Principal
- Location: San Francisco, CA
- Salary: 170000 – 225000 USD per year

## Summary

Taskrabbit seeks a Staff Data Scientist to drive marketplace strategy through predictive modeling and statistical analysis, working with product, risk, and operations teams to optimize growth while reducing fraud and chargebacks. This role suits experienced data scientists with expertise in experimentation, causal inference, and machine learning who want to tackle high-impact problems at the intersection of commerce and risk.

_Our summary, not Taskrabbit's wording._

## Skills named

Dialectical Behavior Therapy (DBT), Experimentation, Fraud detection, Git, Machine Learning, Python, SQL, Statistical Modeling

## Required

- Bachelor's degree in Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related quantitative field
- Minimum 7 years of industry experience in data science
- Advanced experimentation and statistical modeling experience
- Fraud or risk modeling experience in a marketplace or fintech context
- Expert-level SQL proficiency
- Python experience
- Familiarity with data pipeline tooling like dbt and git
- Problem-solving and analytical skills
- Business acumen and strategic thinking, particularly in commerce and risk
- Ability to communicate complex findings to executives
- Self-starter capable of driving projects end-to-end

## Nice to have

- Marketplace or fintech company background
- Experience productionizing machine learning models
- ML Ops familiarity

Apply on Taskrabbit's site: https://job-boards.greenhouse.io/taskrabbit/jobs/7651557