Staff Data Scientist, Product & Pricing
New
United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonSQLMachine LearningA/B testingR
Requirements
- 8+ years of experience in data science, analytics, or a quantitative discipline, ideally within consumer tech, marketplace, or platform-based businesses.
- Strong proficiency in SQL and Python (or R), with experience building and deploying production-grade machine learning models.
- Deep expertise in experimental design, A/B testing, and causal inference, including experience handling network effects, interference, and spillover challenges.
- Proven ability to operate as a full-stack data scientist, from problem framing to modeling to deployment and impact measurement.
- Strong experience working with modern data warehouses and large-scale datasets in production environments.
- Exceptional communication and storytelling skills, with the ability to influence senior stakeholders and drive adoption of data-driven decisions.
- Strong systems thinking mindset, with the ability to understand second-order effects across interconnected marketplace dynamics.
Responsibilities
- Partner with product leaders and cross-functional stakeholders to define strategic business problems, shape measurement frameworks, and guide data-informed product direction.
- Design, build, and deploy advanced predictive and machine learning models to improve marketplace matching, liquidity, pricing, and user experience outcomes.
- Lead experimentation strategy end-to-end, including A/B testing design, causal inference methods, and analysis of network effects and spillover impacts.
- Develop and maintain robust data structures and instrumentation in collaboration with engineering teams to ensure high-quality, analysis-ready data pipelines.
- Translate complex analytical findings into clear, actionable insights that influence senior leadership decisions and product roadmaps.
- Continuously monitor marketplace health metrics and identify opportunities for optimization and growth across key user flows.
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