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Data Scientist - Growth

Prolific

City Of London

On-site

GBP 50,000 - 70,000

Full time

21 days ago

Job summary

A leading AI data infrastructure company in London seeks a Data Scientist to optimize the growth funnel for their participant pool. The role involves analytical modeling to enhance acquisition, activation, and retention strategies while collaborating with cross-functional teams. Ideal candidates will have a strong background in data analysis, proficiency in Python/R, and experience in building measurement frameworks. Competitive salary and remote working options are offered.

Benefits

Competitive salary
Flexible remote working
Access to groundbreaking research opportunities

Qualifications

  • Experience with modeling user growth funnels such as acquisition loops.
  • Background in building analytical frameworks and measurement systems.
  • Solid software engineering fundamentals.
  • Proven ability to communicate with stakeholders from engineers to executives.

Responsibilities

  • Develop and optimize participants' growth funnel metrics.
  • Analyze user acquisition channels and predict lifetime value.
  • Collaborate with product managers and engineers on growth strategies.
  • Design experiments to test user acquisition and retention strategies.

Skills

Modeling user growth funnels
Building measurement systems
Data analysis
Experimental design
Communication with stakeholders
Python/R expertise
SQL
Machine learning techniques

Education

Relevant degree in Data Science or related field

Tools

AI/ML frameworks
Data visualization tools
Job description
Data Scientist - Growth

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.

Overview

We are 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 end-to-end growth funnel for our core participant pool, treating it as a dynamic growth engine. You will work cross-functionally with product, engineering, and marketing teams, driving initiatives that attract, activate, and retain high-quality participants at scale. You will have significant autonomy to design, build, and deploy models, develop measurement frameworks, and influence decisions that directly impact our platform's growth trajectory and business strategy.

What you'll be doing
  • Develop and own the quantitative framework that measures and optimizes the entire participant growth funnel (Acquisition, Activation, Retention, Referral), creating the core metrics and models that guide our growth strategy.
  • Develop sophisticated models to understand user acquisition channels, predict participant lifetime value (LTV), and identify the key drivers of engagement and churn.
  • Analyze and optimize the levers of growth, including referral programs, onboarding flows, and communication strategies to build a healthy, engaged participant base.
  • Collaborate closely with product managers, engineers, and marketing partners to identify opportunities where data science can drive the strategy for participant acquisition and long-term retention.
  • Synthesize complex analyses of our growth funnels and user journeys into actionable insights, presenting compelling 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.
What you'll bring
  • Experience in modeling and analyzing user growth funnels, such as acquisition loops, user lifecycle marketing, or product-led growth 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 methods to state-of-the-art ML techniques (especially in predictive LTV, churn modeling, and marketing mix modeling), 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.

Additional information

Links to more information on Prolific

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