Data Scientist, Product Analytics

🕒 December 12, 2025

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $175k - $240k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Whatnot

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

🏪 Marketplace

🛍️ eCommerce

💰 $260M Series D on 2022-07

Marketplace • eCommerce

Whatnot is a dynamic online marketplace platform that facilitates live shopping experiences. Users can buy, sell, and discover products they love, engaging in a community-driven environment through live shows. Whatnot ensures a secure shopping experience by vetting sellers and offering protection for unsatisfactory purchases. The company values privacy, providing consent management tools for their users to control cookie usage and personal data processing.

📋 Description

• Define and own the KPIs that measure product health, user engagement, and marketplace performance. • Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities. • Translate complex data into actionable recommendations for product and leadership teams. • Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts. • Develop frameworks for causal inference, impact measurement, and long-term product evaluation. • Build scalable methodologies to understand feature performance and guide iteration. • Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot. • Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features. • Advocate for data-driven decision-making and foster a culture of measurement across the product organization. • Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions. • Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.

🎯 Requirements

• 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization. • A bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience. • Proven experience applying statistical and analytical methods to real-world product problems. • Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT. • Proficiency with Python or R for data analysis, modeling, and experimentation. • Experience designing and analyzing A/B tests and understanding causal inference techniques. • Strong data visualization skills and familiarity with BI tools for building interactive dashboards. • Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders. • Experience leading cross-functional projects and influencing product strategy with data. • Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.

🏖️ Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) • Health Insurance options including Medical, Dental, Vision • Work From Home Support • Home office setup allowance • Monthly allowance for cell phone and internet • Care benefits • Monthly allowance for wellness • Annual allowance towards Childcare • Lifetime benefit for family planning, such as adoption or fertility expenses • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally • Monthly allowance to dogfood the app • Parental Leave • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.