
Data Scientist – Counter-Strike 2 Expert
Posted Nov 4

Posted Nov 4
This is a fully remote position, open to applicants in Czechia.
• Take ownership of and enhance the CS2 prematch models along with the foundational library for match, player, and team models.
• Serve as the analytical conduit between the data science team and gaming experts.
• Convert feedback from game experts into actionable features.
• Create and sustain internal dashboards for data visualization.
• Assist game experts in interpreting player statistics, team dynamics, and shifts in meta.
• Work towards developing live models after achieving proficiency in prematch predictions.
• Leverage in-game insights to create a predictive advantage for both prematch and live models utilizing high-quality datasets.
• Evaluate prematch and in-game scenarios on a match-by-match basis.
• In-depth understanding of the Counter-Strike 2 competitive landscape.
• Proficiency in Python programming with an emphasis on Data Science.
• Strong grounding in statistics, mathematics, and machine learning concepts.
• Ability to communicate effectively with colleagues from non-technical backgrounds.
• Experience in predictive modeling related to CS2 or other esports/sports will facilitate a quicker start.
• Familiarity with AI tools in a professional context, including personal workflows or agents, will expedite onboarding.
• Background in rating systems will aid in a swift acclimatization.
• Knowledge of visualization tools will enhance the onboarding process.
• Understanding of Valorant will provide an advantage in getting started more rapidly.
• Insights into esports betting will assist in a quicker integration into the role.
• Daily use of AI tools with the opportunity and support to enhance AI-related skills.
anacision GmbH
Enveda
CFRA Research
Capgemini
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