[Hiring] Applied Science Manager @Prolific

Role Description

Prolific’s marketplace connects AI companies, researchers, and enterprises with a global pool of participants. The quality of our matching, allocation, and forecasting decides how fast studies fill, how good the data is, and how participants experience the platform.

We’re hiring an Applied Science Manager to own the scientific strategy for that marketplace. You’ll lead a team of four Data Scientists and Applied Scientists, with room to grow it, and work closely with Product and Engineering to get models into production.

What you'll be doing

• Own marketplace optimisation: Set the scientific direction and lead the development of matching, ranking, allocation, forecasting, and supply-demand optimisation algorithms.
• Drive scientific rigour and impact: Apply experimentation, causal inference, simulation, and model evaluation to improve marketplace efficiency, fulfilment, participant experience, and data quality.
• Partner with Product and Engineering: Translate complex marketplace challenges into scalable algorithmic solutions, shape product priorities, and bring models into production.
• Lead and grow the team: Manage and develop a team of four Data Scientists and Applied Scientists, setting technical standards, coaching individuals, and building the team's capabilities as it expands.

Qualifications

• Proven experience managing, coaching, and developing Data Scientists or Applied Scientists.
• Strong technical expertise in applied machine learning, optimisation, and algorithm development, with a track record of delivering production decision systems.
• Strong foundations in experimentation, causal inference, and rigorous model evaluation.
• Experience with two-sided marketplaces or large-scale platforms is a plus.

Benefits

• Competitive salary.
• Remote working opportunities.
• Access to a unique human data platform.
• Opportunities for groundbreaking research.