Staff Data Scientist: Growth & Strategy (Hybrid)

TaskRabbit, Inc.; San Francisco (CA); Ibrido; USD 170.000 - 225.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401k match

Generous time off with company-wide闭闭?

Descrizione del lavoro

Taskrabbit is seeking a Staff Data Scientist to join our data science team, working closely with Product and Commercial Operations to deliver data-driven insights that accelerate growth while reducing marketplace losses and shaping product strategy.

This role blends hands-on analytics with strategic influence, requiring deep expertise in experimentation, causal inference, SQL, Python, and data tooling. The position is hybrid (2 days in SF) with competitive US compensation.

Competenze

• BS, MS or Ph.D. in a quantitative field (Statistics, Econometrics, CS, Engineering, Mathematics, Data Science, OR related).
• 7+ years industry experience in data science.
• Strong experience with advanced experimentation and statistical modeling.
• Excellent analytical, problem-solving, and business acumen in commerce/risk domains.
• Proficient in SQL and Python; familiar with dbt, Git, and ML Ops.

Mansioni

• Define high-impact analytical problems with Product and Operations stakeholders and present actionable insights.
• Conduct analytical deep dives to identify growth opportunities focusing on Product.
• Define and measure success metrics for new features; conduct experiments and causal inference.
• Lead central Data Science initiatives (experimentation system, data agents, eventing).
• Foster a data-driven culture by advocating best practices in analysis and interpretation.

Conoscenze

SQL

Python

dbt

Git

Experimentation

Statistical modeling

Business acumen

Communication

Formazione

BS/MS/PhD in quantitative field

Strumenti

ML Ops

Descrizione del lavoro

Taskrabbit is seeking a Staff Data Scientist to join our data science team, working closely with Product and Commercial Operations to deliver data-driven insights that accelerate growth while reducing marketplace losses and shaping product strategy.

This role blends hands-on analytics with strategic influence, requiring deep expertise in experimentation, causal inference, SQL, Python, and data tooling. The position is hybrid (2 days in SF) with competitive US compensation.