Data Scientist

• Lead the design, execution, and interpretation of A/B tests and other experiments to evaluate product changes; apply causal inference methods to understand the “why” behind results.
• Work closely with Product Managers and leaders to identify growth levers, assess trade-offs, and influence investment decisions.
• Apply statistical modelling, segmentation, clustering, and predictive techniques to uncover deeper insights into user behaviour and product performance.
• Translate complex analysis into clear narratives that drive decisions across technical and non-technical audiences.
• Share knowledge, coach junior team members, and foster a culture of curiosity and continuous learning.
• Partner with Product Managers, Engineers, and other stakeholders to ensure the data foundation is reliable and fit for analysis.
• Act as a strategic thought partner, bringing rigour to measuring product impact and surfacing opportunities.

Senior Data Scientist

Head of Data

Senior Data Scientist – Semi Conductor

Senior Data Scientist

Director of Data Science

Manager, Data Science – Solutions