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 Spain. 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-game situations, ensuring that predictive models reflect the realities of professional competition.

- Design, develop, and maintain internal dashboards and visualisation tools that enable specialists to explore player statistics, team performance trends, and changes in the competitive meta.
- Monitor model performance, identify opportunities for improvement, and refine analytical methodologies based on new data and expert feedback.
- Explore and integrate AI-powered tools, workflows, and autonomous agents into daily processes to improve research, analysis, development efficiency, and overall productivity.
- Build expertise in pre-match prediction systems before progressively expanding responsibilities towards the development and optimisation of live prediction models.
- Communicate analytical findings and technical concepts clearly to non-technical colleagues, supporting informed decision-making across the team.

Requirements:
- Expert-level knowledge of the Counter-Strike 2 competitive scene, including professional teams, players, tournament dynamics, game strategies, and evolving competitive trends.
- Practical experience with Python programming, particularly for data science, statistical analysis, and predictive modelling.
- Strong foundations in statistics, mathematics, and machine learning, with the ability to apply quantitative methods to complex competitive scenarios.
- Understanding of how in-game factors, player performance, team dynamics, and strategic decisions influence match outcomes.
- Strong analytical and problem-solving skills, with the ability to interpret complex datasets and translate findings into meaningful predictive insights.
- Excellent communication skills, including the ability to explain technical concepts and analytical results to colleagues without a technical background.
- Proactive and organised working style, with a strong sense of ownership and the ability to independently manage responsibilities and deliver results.

📌 Counter-Strike 2 Expert Data Scientist (España)
🏢 Jobgether
📍 España