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Salary: USD 170,000 - 225,000 / annual
Taskrabbit is a marketplace platform connecting people with Taskers for home services like furniture assembly, handyman work, and moving help. The company is owned by IKEA and operates across the US and EU with a hybrid, distributed workforce.
In this Staff Data Scientist role, you will be a strategic thought partner to Product and Commercial Operations teams, driving high-impact analytical work that enhances products and accelerates growth while minimizing marketplace losses. You will define and solve complex analytical problems using advanced statistical and analytical approaches, present actionable insights to executive audiences, and lead company-wide data science initiatives.
Key responsibilities include:
- Partnering with stakeholders to identify and solve high-impact analytical problems
- Conducting strategic analytical deep dives to uncover growth opportunities in key business levers
- Defining and measuring success metrics for new features and products
- Conducting advanced experimentation and causal inference to optimize product experiences
- Leading central data science initiatives such as experimentation systems, data agents, and eventing systems
- Fostering a data-driven culture by advocating for best practices in data analysis
- Working independently to drive projects end-to-end with measurable business impact
The role is hybrid, requiring 2 days in office at the San Francisco hub (130 Sutter St) every Tuesday and Wednesday.
REQUIREMENTS:
- BS, MS, or Ph.D. in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related)
- Minimum 7 years of industry experience in data science
- Strong and relevant experience with advanced experimentation and statistical modeling
- Excellent analytical and problem-solving skills
- Strong business acumen and strategic thinking, especially in commerce/risk domains
- Expert-level SQL proficiency; experienced in Python; familiar with data pipeline tooling (e.g., dbt) and git
- Bonus: experience productionizing ML models and familiarity with ML Ops
- Self-starter capable of driving projects independently with a track record of landing strong business impact
- Ability to communicate complex data findings clearly to executive audiences
- Must be legally authorized to work in the United States without employer sponsorship
