Staff Data Scientist

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Company Overview

A global marketplace platform connects customers with independent service providers who assist with everyday home-related tasks, including furniture assembly, handyman services, moving assistance, and other household needs. The organization focuses on creating meaningful earning opportunities for service providers while delivering convenient and reliable experiences for customers.

The company promotes a collaborative, pragmatic, inclusive, and fast-paced culture centered on innovation, hard work, and data-driven decision-making. It operates as a hybrid organization with employees distributed across the United States and Europe and has been recognized as a leading workplace across multiple national and regional categories.

Important Employment Information

Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. Visa sponsorship is not currently available for this position, including H-1B, OPT, F1, CPT, or other employment-based visas.

This is a hybrid position requiring employees to work two days per week from the organization’s San Francisco office every Tuesday and Wednesday.

Data Science plays a critical role in driving business impact through predictive insights and data-driven decision-making. The organization is seeking a highly skilled and motivated Staff Data Scientist to work closely with cross-functional teams across product, finance, engineering, risk, and operations. The role will focus on developing analytical solutions that enhance products, accelerate growth, and minimize marketplace losses.

Key Responsibilities

• Serve as a strategic thought partner to stakeholders across product, risk, finance, engineering, and operations.
• Define high-impact analytical problems and solve them using advanced analytical and statistical approaches.
• Present actionable insights in a clear and compelling manner to business and executive stakeholders.
• Conduct proactive analytical deep dives to identify strategic growth opportunities across key business areas, particularly commerce and risk.
• Collaborate with stakeholders to establish and measure success metrics for new products and features.
• Conduct advanced experimentation and causal inference to optimize product features and user experiences.
• Design, develop, and scale proactive fraud prevention initiatives using heuristic and machine learning models.
• Develop solutions that improve financial performance by mitigating chargebacks, fraud, transaction declines, refunds, and other marketplace losses.
• Promote a data-driven culture by advocating for best practices in data analysis, experimentation, and interpretation.
• Work independently to drive projects from initial problem definition through implementation and measurable business impact.

Required Qualifications

• Bachelor’s, Master’s, or Ph.D. degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or a related discipline.
• At least 7 years of professional industry experience in data science.
• Previous experience working in a marketplace or fintech environment is a plus.
• Strong experience with advanced experimentation and statistical modeling.
• Experience developing fraud and risk models within marketplace or fintech environments.
• Excellent analytical and problem-solving abilities.
• Strong business acumen and strategic thinking, particularly within commerce and risk domains.
• Expert-level proficiency in SQL.
• Professional experience with Python.
• Familiarity with data pipeline and development tools such as dbt and Git.
• Experience productionizing machine learning models is a plus.
• Familiarity with MLOps practices is a plus.
• Demonstrated ability to independently manage projects from start to finish and deliver measurable business impact.
• Strong communication skills, with the ability to explain complex data findings clearly and concisely to executive audiences.

Disclaimer

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