Staff Data Scientist

Bicycle Couriers and Company

San Francisco (CA)

Hybrid

USD 170,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Employer-paid health insurance
401k match with immediate vesting
Generous time off with company-wide 2闭
Product stipends
IKEA discounts

Job summary

Taskrabbit is seeking a Staff Data Scientist to drive business strategy through predictive insights. You will work with product, finance, engineering, risk, and operations to deliver data-driven solutions that accelerate growth and reduce marketplace losses.

You will design and scale fraud interventions, lead advanced experimentation, and mentor a data-driven culture across the organization. A strong background in statistics, ML, and productionizing models is required.

Qualifications

  • PhD/ MS/BS in quantitative field.
  • 7+ years data science experience, ideally in marketplace/fintech.
  • Experience with analytics, modeling, and fraud/risk in marketplace/fintech.
  • Ability to communicate findings to executives.

Responsibilities

  • Define high-impact analytical problems with stakeholders and present insights.
  • Perform deep dives to identify growth opportunities in commerce and risk.
  • Measure success metrics, run experiments and causal inference.
  • Design fraud interventions using ML/heuristic models.
  • Advocate data-driven practices across the organization.

Skills

Experimentation
Fraud risk models
Analytical skills
Business acumen
Executive communication
Self-starter

Education

BS/MS/PhD in quantitative field

Tools

SQL
Python
dbt
Git
ML Ops

Job description

About Taskrabbit

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!

Prior To Applying Please Note
  • We are currently unable to provide visa sponsorship for this position (including H-1B, OPT, F1, CPT or other employment-based visas). Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future.
  • This role is hybrid requiring 2 days in office at our San Francisco hub every Tuesday & Wednesday (located at 130 Sutter St, San Francisco, CA).
About The Role

Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Staff Data Scientist to join us, working closely with cross-functional teams from product, finance, engineering, risk and operations to provide data-driven insights and solutions that enhance our products and accelerate growth while minimizing marketplace losses.

What you will work on
  • Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner.
  • 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. These efforts will be focused on enhancing financial performance by mitigating issues such as chargebacks, fraud, transaction declines, and refunds.
  • Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.
Who you are
  • 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.
  • Excellent business acumen and strategic thinking skills, especially in a commerce/risk domain
  • 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.
  • A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact
  • Ability to communicate complex data findings in a clear and concise manner to an executive audience.
Compensation & Benefits

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $170,000 - $225,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

You’ll Love Working Here Because
  • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection.
  • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
  • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
  • The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment.
Taskrabbit’s Commitment To Diversity And Inclusion

An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.

Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

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