Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering)
Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch
Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design)
Scaling Impact: Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products
Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation
Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists
Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels
Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation
A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles
Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products
Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness
Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions
A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join