Counter-Strike 2 Expert Data Scientist

Jobgether; España; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Remote working within Europe

Job summary

Jobgether, on behalf of a partner, seeks a Counter-Strike 2 Expert Data Scientist based in Spain to develop advanced predictive models for professional esports. You will work with premium datasets to transform player performance and in-game strategies into actionable insights, bridging mathematics, data science, and esports expertise in a fast-paced environment.

You will own the development of pre-match prediction systems, explore live modelling as you grow, and build internal dashboards to help

Qualifications

• Expert-level knowledge of Counter-Strike 2 competitive scene and strategy.
• Strong background in statistics and data modelling for predictive analytics.
• Experience applying ML techniques to real-world esports datasets.
• Ability to translate complex data insights into actionable recommendations.

Responsibilities

• Develop, maintain, and improve Counter-Strike 2 pre-match prediction models and libraries.
• Build and optimise models for matches, player performance, and team statistics.
• Analyse premium esports datasets to uncover patterns and trends for predictions.
• Bridge communication between data scientists and CS2 experts to refine features and models.
• Collaborate with game specialists to validate model assumptions with match contexts.
• Design dashboards and visualisation tools for exploring player stats and team dynamics.
• Monitor model performance and iterate analytics methods using new data and expert feedback.
• Explore AI-powered tools to enhance research, analysis, and productivity.
• Develop expertise in pre-match prediction and extend to live prediction modelling.
• Convey analytical findings clearly to non-technical stakeholders.

Skills

CS2 expertise

Statistics

Machine Learning

Data analysis

Tools

Python

Job description

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.
• Enthusiasm for artificial intelligence and a willingness to experiment with AI-powered tools as part of everyday work.

Additional experience that would be particularly valuable includes:

• Previous experience developing predictive models for Counter-Strike 2, other esports titles, or traditional sports.
• Practical experience using AI tools in professional workflows, including building custom AI-powered processes, automation systems, or autonomous agents.
• Familiarity with rating systems and player or team ranking methodologies.
• Experience developing data visualisations, analytical dashboards, and interactive reporting tools.
• Knowledge of Valorant or other competitive esports ecosystems.
• Previous exposure to esports betting, odds modelling, or sports analytics.

Benefits:

• Remote working arrangement within Europe.
• Freelance contract offering flexibility and professional independence.
• Opportunity to combine professional Counter-Strike 2 expertise with advanced data science and predictive modelling.
• Access to premium esports datasets to support sophisticated research and model development.
• Opportunity to work alongside experienced data scientists, quantitative specialists, and competitive gaming experts.
• Significant ownership over the development and continuous improvement of pre-match prediction models.
• Clear opportunity to expand into live prediction modelling as your expertise develops.
• Daily exposure to AI-powered tools, with support and opportunities to experiment with new technologies and improve your AI capabilities.
• Opportunity to contribute to innovative analytical solutions in the rapidly evolving esports and predictive analytics industry.
• Collaborative, technically challenging environment that values initiative, experimentation, and measurable impact.