Counter-Strike 2 Expert Data Scientist
At a glance
Mid-level Data Science role at Oddin. Remote · contract.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Improve prematch models for CS2 matches, players and teams, along with the shared code behind them
- Turn game experts’ feedback into features by connecting their match insights with the data science team
- Build and maintain dashboards that show player stats, team patterns and changes in the competitive meta
- Once you have established the prematch work, shape your next steps toward live predictions
What you bring
- Expert understanding of competitive CS2, including its professional scene and in-game tactics
- Python experience focused on data science, backed by a sound grasp of statistics, mathematics and machine learning
- You can explain analytical work clearly to colleagues without technical backgrounds
Who this fits
This contractor role suits someone who can connect detailed CS2 match knowledge with quantitative modeling. You’ll work remotely and use AI tools as part of your daily workflow.
From the employer
We are looking for a Counter-Strike 2 expert with strong data science skills to join our team. You understand the professional scene, in-game strategies, and CS2 data. Your goal is to translate deep in-game knowledge into predictive edge for our prematch and live models using premium datasets. You will be the connection between the more theoretical quant world of mathematical models and more practical side of game experts going from match to match assessing prematch and in-game situations. You are proactive, organized, and possess a high sense of ownership.
AI completely changed our daily work - we are excited to hear about your AI experience and experiments and how and where it helps improve your workflow. You will be using AI tools daily for your job and will have space and support to improve your skills in this area.
What You'll Be Working On:
- Prematch Modeling: Own and improve our CS2 prematch models and the core library behind them (match, player, and team models).
- Collaboration: Act as the analytical link between our data science team and game experts and turn feedback into features.
- Internal Tools & Visualization: Develop and maintain our internal dashboards to help game experts visualize player statistics, team trends, and meta shifts.
- Growth path: After mastering prematch predictions set your path towards live models.
Skills You'll Need:
- Expert knowledge of the CS2 competitive scene.
- Experience with Python programming with a focus on Data Science.
- Solid foundation of statistics, mathematics and ML.
- Clear communication with non-technical colleagues.
What will help you get started faster:
- Predictive modelling of CS2 (or other esports / sports)
- AI tools in your work, incl. own workflows or agents
- Rating systems
- Visualization tools
- Valorant knowledge
- Esports betting
By applying to this position, you consent to Oddin s.r.o., ID No.: 076 81 763, Pod Dráhou 1637/6, 170 00 Praha 7-Holešovice, Czechia, processing your personal data under Regulation (EU) 2016/679.
Your data will be processed for recruitment and may be retained for up to 3 years for similar job opportunities.
Rights: Access, correct, delete, restrict, or object to processing; withdraw consent via hr@oddin.gg ; or complain to https://uoou.gov.cz/ .
For more details: Contact hr@oddin.gg or visit the website here.
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