Senior Data Scientist

Caesars Sportsbook Open

Hybrid Las Vegas Full-time Senior Data Science

At a glance

Senior Data Science role at Caesars Sportsbook. Las Vegas · full-time · no salary stated · we estimate $148,247–$205,000 across the United States.

Estimated pay

Caesars Sportsbook has not published a salary for this role. The figure below is our estimate, not theirs.

$148,247 – $205,000

What the middle half of senior data science roles in the United States paid, among postings that did state a salary.

Worked out from 546 postings that stated pay, median $175,425. Last updated Nov 6, 2026.

RoleData Science

SenioritySenior

LocationLas Vegas

WorkplaceHybrid

EmploymentFull-time

PostedAug 6, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build and adjust statistical and machine-learning models that estimate outcomes and price betting markets
Shape live-feed data, including player and team information, weather, and betting activity, while checking its reliability
Monitor P&L, hold, and liability measures, then recalibrate models when results call for changes
Coordinate with trading, product, and engineering teams to define model needs and put them into production
Guide junior scientists and explain model findings for trading strategies, risk limits, and event pricing

What you bring

A degree in statistics, mathematics, computer science, data science, or a related discipline
At least five years in data science or machine learning, including two years focused on sportsbook, gaming, or trading models
Strong command of probability, statistical approaches, and advanced machine learning, with Python and SQL skills
Experience deploying models and using automated testing, plus an understanding of betting odds, overround, liability, and in-play markets

Who this fits

This senior role suits someone who can combine quantitative modeling with practical input to trading and product decisions. You’ll also guide junior data scientists and work across trading, product, and engineering. The role is hybrid in Las Vegas.

From the employer

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