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Senior Data Science Sports Betting Jobs (NOW HIRING)

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

... sports betting and gaming industry. Experience and Skills * 0-2 years proven experience in a data science or advanced analytics role. * Degree in a quantitative field, e.g., Mathematics, Physics ...

DraftKings

Senior Data Science Engineer

Boston, MA

$115K - $156K/yr

The Crown Is Yours As a Senior Data Science Engineer, you'll help shape the advanced machine ... sports betting, prediction markets, or other real-time decision systems is preferred. * Strong ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Soccer , or sports betting for ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $190K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ ...

FanDuel

Data Science Manager

Jersey City, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Present to senior leaders confidently and with impact * Construct models, analyses and solutions in ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Present to senior leaders confidently and with impact * Construct models, analyses and solutions in ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Present to senior leaders confidently and with impact * Construct models, analyses and solutions in ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

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Senior Data Science Sports Betting information

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$99K

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How much do senior data science sports betting jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior data science sports betting in the United States is $99,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $107,000.00 per year, depending on experience, location, and employer.

How does a senior data science sports betting professional typically collaborate with traders and product teams to drive business outcomes?

Senior Data Science professionals in sports betting frequently work cross-functionally, collaborating closely with traders to refine predictive models and optimize odds. They also partner with product teams to implement data-driven features that enhance user engagement and improve the customer experience. Regular communication and agile workflows are common, as these professionals translate complex data insights into actionable strategies that directly impact business performance. This collaborative environment allows for continuous learning and direct influence on key business decisions.

What is the difference between Senior Data Science Sports Betting vs Data Analyst Sports Betting?

AspectSenior Data Science Sports BettingData Analyst Sports Betting
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentDevelops predictive models, algorithms, and complex analytics for sports betting strategiesPerforms data collection, cleaning, and basic analysis to support decision-making
Employer & Industry UsageUsed by sportsbooks, betting platforms, and gaming companies for strategic insightsUtilized by betting companies and analytics firms for reporting and operational support

Senior Data Science Sports Betting roles focus on building advanced models and algorithms to optimize betting strategies, requiring higher technical expertise. Data Analyst Sports Betting positions involve analyzing data to generate reports and support decisions, typically with less emphasis on complex modeling. Both roles are vital in the sports betting industry but differ in scope and technical depth.

What does a senior data science sports betting professional do?

A Senior Data Science Sports Betting professional applies advanced statistical and machine learning techniques to analyze sports data and predict outcomes. They develop models to set odds, identify betting opportunities, and optimize risk for sportsbooks or betting companies. Their responsibilities often include managing data pipelines, collaborating with traders, and communicating insights to both technical and non-technical stakeholders. They may also mentor junior data scientists and help shape the overall data strategy for the organization.

What are the key skills and qualifications needed to thrive as a senior data science sports betting professional, and why are they important?

To thrive as a Senior Data Scientist in Sports Betting, you need advanced statistical analysis, machine learning expertise, and a strong background in mathematics or computer science, often supported by a relevant degree. Proficiency with programming languages like Python or R, experience with big data platforms, and familiarity with sports analytics software are commonly required. Exceptional problem-solving, communication skills, and the ability to translate complex data insights into actionable business strategies set top candidates apart. These skills and qualities are crucial for developing accurate predictive models, driving informed decision-making, and maintaining a competitive edge in the fast-paced sports betting industry.
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Senior Data Science Sports Betting jobs near you
Infographic showing various Senior Data Science Sports Betting job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Senior Data Scientist

Ceasars Entertainment

Las Vegas, NV

Full-time

Posted 7 days ago

Caesars Entertainment rating

6.4

Company rating: 6.4 out of 10

Based on 254 frontline employees who took The Breakroom Quiz

108th of 163 rated casinos

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.

At Caesars Digital, We Don't Just Play the Game - We Set the Standard.

As a proud part of Caesars Entertainment, the world's premier gaming company with more than 80 years of sports betting leadership, Caesars Digital is Blazing The Trail in digital innovation, customer experience and industry excellence.

We believe every Team Member should be treated like royalty because We Are All Caesars. This guiding principle fuels our commitment to delivering legendary service and creating unforgettable experiences for our customers.

From cutting-edge digital platforms including Caesars Sportsbook, Caesars Palace Online, Horseshoe Online Casino and Caesars Racebook, to the continuing expansion of our retail footprint and our William Hill legacy, along with powerhouse partnerships across sports and entertainment, we're building something extraordinary. And we want you to be part of it.

Ready to make your mark on the Empire?

Explore our open roles and discover how you can help shape the future of gaming.

Join us. Blaze the Trail. Because at Caesars Digital, We Are All Caesars.

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

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

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