Prolific is looking for a Data Science Manager to lead their Data Science team, which is responsible for revolutionizing how AI learns from humans and powering the world's leading platform for human feedback. The goal is to enable AI developers to build safer and more capable models by leveraging Prolific's unique human data asset.
Requirements
- A strong background in both product-focused data science (e.g., A/B testing, causal inference, metrics definition) and applied ML/AI (building and deploying models to solve business problems).
- Experience with behavioral data, human feedback systems, or AI evaluation is a strong plus.
Responsibilities
- Spearhead the creation of robust measurement frameworks, metrics, and experimentation (A/B testing, causal inference) to guide product development, quantify platform impact, and support emerging AI evaluation needs
- Go beyond the data to uncover deep, actionable insights from our unique human feedback data, identifying new product opportunities and strategic directions.
- Guide the team in developing and deploying impactful models that solve core business problems and enhance the product – from optimizing feedback quality to modeling user behavior at scale.
- Establish and uphold high technical standards for data science, ensuring robust, scalable, and impactful solutions are delivered consistently.
- Partner closely with Product, Engineering, and Research teams to ensure the seamless integration and operationalization of your team's models and insights.
Other
- Recruit, develop, and lead a high-performing, diverse team of product and technical data scientists, fostering a culture of excellence, innovation, and impact as the team grows.
- Define and drive the data science roadmap, aligning it with Prolific's overall product and company goals to maximize your team's influence.
- Collaborate directly with executive leadership to identify breakthrough opportunities and translate the team's technical capabilities into a core competitive advantage.
- 6+ years of experience in data science or related fields, with at least 2+ years of direct people management experience, including hiring and performance management.
- A demonstrated track record of building and scaling high-performing data science teams.
- A clear perspective on how human data can fundamentally improve AI systems, with the ability to translate that vision into a concrete action plan.
- The ability to influence stakeholders at all levels, from technical individual contributors to the executive team, and to articulate complex concepts clearly.
- A strategic mindset paired with a hands-on, practical approach to problem-solving and a focus on delivering business impact.
