Overview
Data Scientist - Growth at Prolific. Prolific is building human data infrastructure to support AI development. We seek a Data Scientist with strong analytical skills to own the end-to-end growth funnel for our core participant pool, collaborating with product, engineering, and marketing to attract, activate, and retain high-quality participants at scale. You will design, build, and deploy models, develop measurement frameworks, and influence decisions that impact growth trajectory and business strategy.
Responsibilities
- Develop and own the quantitative framework that measures and optimizes the entire participant growth funnel (Acquisition, Activation, Retention, Referral), creating core metrics and models that guide growth strategy.
- Develop models to understand user acquisition channels, predict participant lifetime value (LTV), and identify drivers of engagement and churn.
- Analyze and optimize growth levers, including referral programs, onboarding flows, and communication strategies to build a healthy, engaged participant base.
- Collaborate with product managers, engineers, and marketing partners to identify opportunities where data science can drive strategy for acquisition and long-term retention.
- Synthesize complex analyses of growth funnels and user journeys into actionable insights, presenting data-driven narratives to influence strategic decisions.
- Design and analyze experiments to test hypotheses about user acquisition channels, onboarding experiences, and retention tactics.
- Partner with data engineers to enhance data pipelines and logging systems, creating a robust foundation for advanced growth modeling and user behavior analysis.
Qualifications
- Experience in modeling and analyzing user growth funnels (acquisition loops, lifecycle marketing, or product-led growth).
- Strong background in building measurement systems and analytical frameworks, including experimental design and causal inference methods.
- Experience with human behavioral data, annotation/labeling systems, or projects involving human feedback for AI development and evaluation.
- Solid software engineering fundamentals with Python/R, SQL, AI/ML frameworks, and the modern data science stack.
- Toolkit spanning classical statistics to state-of-the-art ML techniques (predictive LTV, churn modeling, marketing mix modeling) and the ability to choose appropriate tools for each problem.
- Proven ability to 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 and focus on high-impact work.
Why Prolific is a great place to work
We’ve built a platform that connects researchers and companies with a global pool of participants to collect high-quality, ethically sourced human behavioural data and feedback. This data supports developing more accurate, nuanced, and aligned AI systems. Prolific is at the forefront of AI innovation by integrating diverse human perspectives into AI development. Join us to work on a unique human data platform within a mission-driven culture, with a competitive salary, benefits, and remote work options.
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