Taskrabbit

5 months ago

Staff Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

A senior data science leader leveraging statistics and ML to drive business strategy for Taskrabbit. You’ll partner with product, risk, finance, and engineering to define high-impact analytical problems, run experiments, develop fraud/risk models, and scale proactive interventions, all while fostering a data-driven culture across hybrid teams in SF or NYC.

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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 statistical approaches, presenting actionable insights clearly.
•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 to mitigate chargebacks, fraud, transaction declines, and refunds.
•Foster a data-driven culture by advocating for best practices in data analysis and interpretation.

Pay and Benefits

Salary: USD 170,000 - 225,000 annually

Perks:Health Insurance401kWellness StipendEducation StipendIkea Discounts

Key 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; previous experience in a marketplace or fintech company is a plus
•Strong and relevant experience with advanced experimentation and statistical modeling; you have past experience with fraud/risk models in a marketplace/fintech context
•Excellent analytical and problem-solving skills.
•Expert in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git. Bonus points for experience in productionizing ML models and familiarity with ML Ops.

Experience:7+ yearsMarketplaceFintech

Education:Bachelor's

Skills:CommunicationProblem-solvingBusiness acumenStrategic thinkingIndependenceData storytelling

Languages:English

Tech Stack:SQLPythonDbtGitMachine learningMLOps

Company Brief

Taskrabbit

Operates an online marketplace that connects users with local freelance labor for household tasks such as furniture assembly, moving, cleaning, and home repairs, matching vetted 'Taskers' with customers for on‑demand local services.

Industry: Online Marketplaces

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: San Francisco, United States

Founded: 2008

Glassdoor: 3.9

Website LinkedIn

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Taskrabbit

5 months ago

Staff Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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 statistical approaches, presenting actionable insights clearly.
•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 to mitigate chargebacks, fraud, transaction declines, and refunds.
•Foster a data-driven culture by advocating for best practices in data analysis and interpretation.

Pay and Benefits

Salary: USD 170,000 - 225,000 annually

Perks:Health Insurance401kWellness StipendEducation StipendIkea Discounts

Key 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; previous experience in a marketplace or fintech company is a plus
•Strong and relevant experience with advanced experimentation and statistical modeling; you have past experience with fraud/risk models in a marketplace/fintech context
•Excellent analytical and problem-solving skills.
•Expert in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git. Bonus points for experience in productionizing ML models and familiarity with ML Ops.

Experience:7+ yearsMarketplaceFintech

Education:Bachelor's

Skills:CommunicationProblem-solvingBusiness acumenStrategic thinkingIndependenceData storytelling

Languages:English

Tech Stack:SQLPythonDbtGitMachine learningMLOps

Company Brief

Taskrabbit

Industry: Online Marketplaces

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: San Francisco, United States

Founded: 2008

Glassdoor: 3.9

Website LinkedIn