About this role
Taskrabbit needs a senior practitioner to address the challenge of minimizing marketplace losses while accelerating platform growth through advanced statistical modeling and experimentation. Working alongside product and commercial teams, this individual will shape high-impact analytical solutions and direct central data initiatives like experimentation systems and data agents.
Daily responsibilities include defining success metrics for new features, conducting deep-dive analyses to uncover strategic opportunities, and communicating insights to executive leadership. The ideal candidate combines strong technical proficiency in SQL and Python with solid business acumen in commerce or risk domains, and thrives in a collaborative, pragmatic environment.
What you will do
- Partner with product and commercial stakeholders to define and solve complex analytical problems using statistical methods.
- Perform proactive analytical deep dives to identify strategic growth opportunities across key business levers.
- Collaborate with teams to define success metrics, run advanced experiments, and apply causal inference for user experience optimization.
- Lead central data science initiatives including experimentation systems and data agents.
- Advocate for analytical best practices to foster a data-driven culture throughout the organization.
What you need
- Hold a BS, MS, or Ph.D. in a quantitative field such as statistics, computer science, economics, or mathematics.
- Bring a minimum of seven years of industry experience working in data science.
- Demonstrate strong, relevant background in advanced experimentation and statistical modeling.
- Possess expert proficiency in SQL, practical experience with Python, and familiarity with dbt and git.
- Exhibit excellent strategic thinking and business acumen tailored to commerce or risk domains.
Nice to have
- Experience in productionizing machine learning 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 two company-wide closure weeks
- Taskrabbit product stipends
- Wellness, productivity, and education stipends
- IKEA discounts and reproductive health support
Skills and tech stack
Questions candidates ask
What is the remote work or hybrid policy for this job?
This position is hybrid, requiring employees to work two days in the office at the San Francisco hub every Tuesday and Wednesday. The office is located at 130 Sutter St in San Francisco, California.
What is the salary range for this role?
The base pay range for this position is $170,000 to $225,000. Total compensation also includes a bonus, benefits, and perks.
What tools and technologies will I be using?
The role requires expertise in SQL and experience with Python, along with familiarity with data pipeline tooling such as dbt and git.
Are there any visa sponsorship options available?
The company is currently unable to provide visa sponsorship for this position, including H-1B, OPT, F1, or CPT. Candidates must be legally authorized to work in the United States without employer sponsorship.