Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models.

The Role

We're looking for a Data Scientist with strong analytical skills and a passion for solving complex systems problems to join our team. You will own the economic health and efficiency of our core participant pool, treating it as a dynamic economic system. You'll work cross-functionally with product, engineering, and operations teams, driving initiatives that balance the supply of high-quality participants with the demands of researchers. You'll have significant autonomy to design, build, and deploy models, develop measurement frameworks, and influence decisions that directly impact our platform's capabilities and business strategy.

What you’ll be doing

Develop and own the quantitative framework that defines participant pool health, creating the core metrics and models that guide long-term company strategy.
Develop and implement sophisticated models to forecast supply and demand, understand participant behavior, and predict churn.
Analyze and optimize the economic levers of the platform, including participant incentives, rewards, and pricing strategies to ensure a healthy, liquid system.
Collaborate closely with product managers, engineers, and operations partners to identify opportunities where data science can drive the strategy for participant engagement and retention.
Synthesize complex analyses of our platform's dynamics into actionable insights, presenting compelling data-driven narratives to influence strategic decisions.
Design and analyze large-scale experiments to test hypotheses about participant behavior and marketplace mechanics.
Partner with data engineers to enhance data pipelines and logging systems, creating a robust foundation for advanced economic modeling and simulation.

What you’ll bring

Experience in modeling and analyzing complex systems, such as two-sided marketplaces, economic platforms, or supply/demand dynamics.
A strong background in building measurement systems and analytical frameworks, particularly using experimental design and advanced causal inference methods.
Experience with or interest in working with human behavioral data, annotation/labeling systems, or projects involving human feedback for AI development and evaluation.
Solid software engineering fundamentals with expertise in Python/R, SQL, AI/ML frameworks, and the modern data science stack.
A toolkit spanning from classical statistical and econometric methods to state-of-the-art ML techniques (especially in forecasting and simulation), with knowledge of how to choose and apply the right tool for each unique problem.
Proven ability to effectively communicate with and influence stakeholders across the organization, from engineers to executives.
Ability to thrive in fast-paced environments and balance speed with quality.
Strong prioritization skills, consistently focusing on high-impact work.

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

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