Data Science Manager, Supply Marketplace & Growth

Requirements

• This role is well suited to a strong technical lead who is ready to grow into full-time management

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• Today, this is a small team with room to grow. We are open to someone stepping into their first formal management role, provided they bring strong technical depth, sound judgment, and a track record of leading high-impact work in a product, platform, or marketplace environment

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• You should have experience in experimentation, causal inference, statistical modeling, forecasting, and marketplace or product analytics, ideally in a two-sided marketplace or similar business where supply-demand dynamics, liquidity, and user behavior are central. Experience leading algorithmic work such as matching, ranking, optimization, allocation, or decision systems would be especially valuable

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• We’re looking for someone who can set technical direction, partner effectively across Product, Engineering, and Operations, and build a strong team over time

What the job involves

• We’re hiring a Data Science Manager, Supply Marketplace to lead this space. This is a high-impact leadership role at the heart of Prolific’s marketplace

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• You will build and lead the team responsible for the science, models, and decision systems that shape participant marketplace health, from growth and activation to allocation, engagement, quality, and long-term retention

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• You will define the strategy for Supply Data Science and lead the analytical and algorithmic foundations that help us understand and optimize participant supply at scale

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• You will work across participant acquisition, onboarding, liquidity, matching, quality, engagement, and retention, ensuring we can meet rapidly growing demand without degrading participant experience or data integrity

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• You will partner closely with Product, Engineering, Operations, and company leadership to translate complex marketplace problems into a clear roadmap of models, experiments, and decision systems. This includes leading algorithmic work such as matching, ranking, optimization, allocation, and other production-grade systems that improve marketplace efficiency while preserving trust, representation, and participant experience

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