Counter-Strike 2 Expert Data Scientist

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Counter-Strike 2 Expert Data Scientist based in France.

Are you passionate about competitive esports, advanced analytics, and predictive modelling? This role offers a unique opportunity to combine deep Counter-Strike 2 knowledge with data science expertise to develop sophisticated prediction models for the professional esports scene. You will bridge the gap between mathematical modelling and practical game analysis, transforming competitive insights, player performance, and in-game strategies into valuable predictive intelligence. Working with premium datasets and a multidisciplinary team of data scientists and esports experts, you will contribute to improving both pre-match and live prediction capabilities. You will also develop analytical tools and visualisations that help specialists understand team dynamics, player statistics, and evolving competitive trends. This is an exciting opportunity for someone who enjoys combining technical innovation, gaming expertise, and AI-powered workflows in a fast-moving environment.

### Accountabilities:

• Take ownership of the development, maintenance, and continuous improvement of Counter-Strike 2 pre-match prediction models and their underlying analytical libraries.
• Develop and optimise predictive models covering matches, individual player performance, and team-level statistics using advanced data science and statistical techniques.
• Analyse premium esports datasets to identify meaningful patterns, competitive trends, player behaviours, and strategic factors that can improve prediction accuracy.
• Act as the analytical bridge between data scientists and Counter-Strike 2 experts, translating practical game knowledge and feedback into actionable data features and model improvements.
• Collaborate with game experts to evaluate match conditions, team strategies, player performance, and in-gam...