Manager, Data Science Engineering

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Company Overview

A leading global live commerce and marketplace platform is transforming the way people buy, sell, and discover products online. The platform combines community, shopping, and entertainment to create an interactive marketplace spanning categories such as fashion, beauty, electronics, collectibles, trading cards, comic books, and live plants.

The organization operates as a remote co-located team with hubs across the United States, United Kingdom, Ireland, Poland, Germany, and Australia. The company focuses on innovation, rapid execution, customer experience, and building scalable technology for the future of online commerce.

The Opportunity

The organization is seeking a Manager, Data Science Engineering to lead a high-impact data science team focused on core marketplace challenges. The role will own measurement, experimentation, and analytical strategy across key growth, discovery, and marketplace ecosystem initiatives while helping drive sustainable and profitable marketplace growth.

This is a hands-on leadership position. The successful candidate will manage and develop a team of data scientists while remaining closely involved in analytical work, methodology, quality standards, and strategic decision-making. Depending on business needs and candidate expertise, the role may support either buyer or seller-focused business areas.

Key Responsibilities

• Lead a team of data scientists working on high-impact marketplace challenges across growth, discovery, incentives, advertising, ranking, and ecosystem health.
• Build and operationalize measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review processes.
• Improve experimentation quality through stronger test design, guardrails, observability, and analytical interpretation.
• Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams to address complex marketplace and growth challenges.
• Develop analytical strategies for major product and business investments, helping teams understand performance, profitability, and business trade-offs.
• Support initiatives involving discovery, personalization, matching, and monetization across evolving areas of the marketplace.
• Improve organizational data usage by developing scalable analytical frameworks, self-service analytics, and high-quality analytical resources.
• Encourage the adoption of modern data science tools and AI-enabled workflows to improve efficiency, analytical leverage, and decision-making.
• Manage, coach, and develop high-performing data scientists.
• Participate in thoughtful hiring and team expansion as business needs evolve.

Preferred Qualifications

• Experience working in marketplaces, two-sided platforms, or live and social consumer products.
• Experience with incentives, pricing, lifetime value (LTV), advertising, marketplace health, or ecosystem economics.
• Background in ranking, recommendations, personalization, or growth experimentation.
• Experience developing analytical approaches, tools, or methodologies that have been successfully scaled beyond an immediate team.
• Strong leadership and people-management capabilities.
• Experience partnering with cross-functional teams to influence product and business decisions through data.
• Ability to remain hands-on while providing strategic direction and mentorship to data science teams.
• Experience applying modern analytical technologies and AI-enabled workflows to improve organizational effectiveness.

Disclaimer

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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
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