Staff Data Scientist, Product & Pricing

Role Overview

This is a high-impact, senior-level individual contributor role focused on shaping the intelligence layer of a fast-growing consumer marketplace platform. You will sit at the intersection of product strategy, data science, and engineering, driving decisions that directly influence matching quality, marketplace liquidity, and overall user experience.

What You Will Do

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.

Why It Might Be a Fit

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.

Requirements

• 8+ years of experience in data science, analytics, or a quantitative discipline
• Strong proficiency in SQL and Python (or R)
• Experience building and deploying production-grade machine learning models
• Deep expertise in experimental design, A/B testing, and causal inference
• Proven ability to operate as a full-stack data scientist
• Strong experience working with modern data warehouses and large-scale datasets in production environments
• Exceptional communication and storytelling skills
• Strong systems thinking mindset

Benefits

• Competitive base salary
• Equity package
• Comprehensive health, dental, and vision insurance coverage
• Flexible time off policy
• 12 paid holidays annually
• 21 annual credits to stay in platform-listed homes for travel experiences
• $4,000 yearly travel stipend
• Remote-first work model
• Regular company offsites
• Inclusive, high-performance culture