Manager, Data Science

🕒 April 26

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Logo of Whatnot

Whatnot

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

• Lead a team of data scientists working on high-impact marketplace problems across areas such as growth, discovery, incentives, ads, ranking, and ecosystem health • Build and operationalize strong measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review rhythms • Raise the bar for experimentation quality through better test design, guardrails, observability, and interpretation • Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams on complex marketplace and growth problems • Drive analytical strategy for major product and business investments, helping teams understand performance, profitability, and tradeoffs • Support work on discovery, personalization, matching, and monetization across evolving parts of the marketplace • Improve how teams use data by building scalable frameworks, self-serve analytics, and high-quality analytical assets • Help your team adopt modern tooling, including AI-enabled workflows, to improve speed, leverage, and decision-making • Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the business grows

🎯 Requirements

• 7+ years of experience in data science, product analytics, experimentation, economics, or a related quantitative field • 2+ years of experience managing or tech-leading high-performing data scientists or quantitative teams • Strong hands-on foundation in analytics, experimentation, causal reasoning, and statistical methodology • Experience supporting consumer product, growth, marketplace, monetization, or ecosystem-focused teams • Track record of building measurement systems and analytical frameworks that improve decision quality • Strong product and business judgment, with the ability to connect detailed analysis to broader company outcomes • Ability to operate effectively in ambiguity and adapt quickly as priorities evolve • Strong communication and stakeholder management skills, including experience working cross-functionally with senior partners • Track record of coaching and developing strong individual contributors • Enthusiasm for modern data tooling and AI-enabled workflows that improve team productivity.

🏖️ 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.

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