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Day 3
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Counter-Strike 2 Expert Data Scientist
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s posting: Freelance Contract
From the employer’s posting
What you’ll work on
Full postingOwn and improve CS2 prematch models (match, player, team)
Turn game expert feedback into model features
Build and maintain internal dashboards for game experts
Use AI tools daily in analytical workflows
From the employer’s posting
Own and improve our CS2 prematch models and the core library behind them (match, player, and team models)
turn feedback into features
Develop and maintain our internal dashboards to help game experts visualize player statistics, team trends, and meta shifts
You will be using AI tools daily for your job
What you’ll bring
All qualificationsCore experience
- Expert knowledge of the CS2 competitive scene
- Experience with Python, focused on data science
- Solid foundation in statistics, mathematics and ML
- Clear communication with non-technical colleagues
Preferred experience
- Predictive modelling of CS2 or other esports/sports
- AI tools in your work, including own workflows or agents
- Rating systems experience
Qualification wording
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.
Predictive modelling of CS2 (or other esports / sports)
AI tools in your work, incl. own workflows or agents
Rating systems
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Oddin is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
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- Python
Where the posting names them
- Expert knowledge of the CS2 competitive scene. - Experience with Python programming with a focus on Data Science. - Solid foundation of statistics, mathematics and ML.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
Employment type
Freelance Contract
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Europe
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.