Teams at Prolific

Lead full-cycle talent acquisition for Prolific’s Product and Design teams. Partner with senior leaders to develop hiring strategies, source specialized and senior talent globally, manage candidates from outreach through offer, use hiring data and market insight to guide decisions, improve recruitment practices and technology, calibrate interviewers, and strengthen employer branding and diversity.

Build practical machine learning, statistical, and data science systems for Prolific’s participant marketplace. The role focuses on modeling participant supply, demand, and quality; improving matching to studies; validating useful signals; designing experiments and metrics; and deploying production-ready solutions. The scientist will independently shape ambiguous problems, select appropriate approaches ranging from classical statistics to LLMs, and collaborate with product, engineering, and Supply Data Science specialists.

Own analytics across the participant lifecycle, including acquisition, onboarding, activation, engagement, retention, churn, and reactivation. Build metrics, dashboards, reporting frameworks, and experimentation analyses using SQL and Python. Partner with Product, Operations, Growth, Data Science, Commercial, and Finance to identify marketplace opportunities, evaluate experiments, and translate participant and supply data into actionable commercial and strategic decisions.