Senior Data Scientist
Las Vegas, NV, United States
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s listing: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and refine statistical and ML models to predict outcome probabilities and set prices
Engineer features from live feeds such as player stats, team form, weather and betting flow
Track model KPIs like P&L, hold and liability, and recalibrate models
Deploy models via APIs or model engines with automated testing and drift monitoring
Guide junior data scientists in model design, experiments and best practices
From the employer’s posting
Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices
Extract and engineer features from live feeds (e.g., player stats, team form, weather, betting flow)
Continuously track model behavior through KPIs—P&L, hold, liability, and recalibrate based on findings
Collaborate with engineering to deploy models in production via APIs or model engines, implementing automated testing for accuracy, performance benchmarking, and drift monitoring
Guide junior data scientists in model design, experiments, and best practices
What you’ll bring
All qualificationsCore experience
- Degree in Statistics, Mathematics, Computer Science, Data Science, or similar.
- Experience building sports models
- 5+ years in data science or ML with at least 2+ years focused on sportsbook, gaming, or financial trading models.
- Experience programming in Go
- Deep knowledge of probability, statistical methods, and advanced ML techniques.
- Experience Sports Betting
Qualification wording
Degree in Statistics, Mathematics, Computer Science, Data Science, or similar.
Experience building sports models
5+ years in data science or ML with at least 2+ years focused on sportsbook, gaming, or financial trading models.
Experience programming in Go
Deep knowledge of probability, statistical methods, and advanced ML techniques.
Experience Sports Betting
Tools in this posting
- Python
- SQL
- NumPy
- pandas
- scikit-learn
Source — Tool mentions in context
- Deep knowledge of probability, statistical methods, and advanced ML techniques. - Proficient in Python (NumPy, pandas, scikit-learn, etc). - Experience with automated model deployment and testing frameworks.
- Experience with automated model deployment and testing frameworks. - Strong SQL and data pipeline understanding - Understanding of betting mechanics—odds formulation, overround, liability, in-play dynamics.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 2026 · 70 days ago
- Recorded sightings
- 344
- Last seen by us
- Oct 22, 2026
- Employer says posted
- Aug 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Join our Sportsbook team as a Senior Data Scientist responsible for end-to-end model development—designing, deploying, and refining predictive and pricing models that power our real-time odds, trading decisions, and risk management.
Key Responsibilities
- Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across a wide range of sports betting markets
- Extract and engineer features from live feeds (e.g., player stats, team form, weather, betting flow), ensuring data quality and integrity.
- Continuously track model behavior through KPIs—P&L, hold, liability, and recalibrate based on findings
- Work closely with Trading, Product, and Engineering teams to translate business goals into model requirements and ensure successful rollouts.
- Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class.
- Guide junior data scientists in model design, experiments, and best practices.
- Collaborate with engineering to deploy models in production via APIs or model engines, implementing automated testing for accuracy, performance benchmarking, and drift monitoring.
- Translate model insights into clear recommendations for trading strategies, risk limits, and event-level pricing decisions.
- Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated business
Qualifications
- Degree in Statistics, Mathematics, Computer Science, Data Science, or similar.
- 5+ years in data science or ML with at least 2+ years focused on sportsbook, gaming, or financial trading models.
- Deep knowledge of probability, statistical methods, and advanced ML techniques.
- Proficient in Python (NumPy, pandas, scikit-learn, etc).
- Experience with automated model deployment and testing frameworks.
- Strong SQL and data pipeline understanding
- Understanding of betting mechanics—odds formulation, overround, liability, in-play dynamics.
- Excellent problem-solving, communication, and collaboration skills. Proven track record of influencing product/trading decisions.
Nice to Have
- Avid sports fan
- Prior roles at leading sportsbooks
- Experience building sports models
- Experience programming in Go
- Experience Sports Betting
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Las Vegas, NV, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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