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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 ...

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

Soccer Data Scientist

San Francisco, CA · On-site

$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

$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+ ...

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+ ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

FanDuel

Data Science Manager

New York, NY · On-site

This role will also manage and develop other data scientists. You will promote effective ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

FanDuel

Data Science Manager

New York, NY · On-site

This role will also manage and develop other data scientists. You will promote effective ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Seven Points Capital

Sports Betting / Traders

Sports Betting / Traders Department: Traders Employment Type: Full Time Location: Remote ... Key Responsibilities • Interpret data and develop recommendations based on findings • Develop ...

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Data Science Sports Betting information

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

As of Jul 28, 2026, the average yearly pay for data science sports betting in the United States is $100,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $151,000.00 per year, depending on experience, location, and employer.

Do data scientists work in sports?

Data scientists work in sports by analyzing large datasets to improve team performance, develop betting models, and predict outcomes. They often use statistical tools, machine learning algorithms, and programming languages like Python or R to extract insights from sports data. These roles are common in sports organizations, betting companies, and analytics firms.

What is a Data Science Sports Betting job?

A Data Science Sports Betting job involves using data analytics, machine learning, and statistical modeling to analyze sports events and predict betting outcomes. Professionals in this field collect and process large datasets, identify patterns, and develop predictive models to gain an edge in sports wagering. They work with odds calculation, bankroll management, and risk assessment to optimize betting strategies. This role requires expertise in programming, data manipulation, and a deep understanding of sports dynamics. It can be found in sportsbooks, betting firms, or independent consulting roles.

How much does a sports data scientist make?

A sports data scientist typically earns between $70,000 and $130,000 annually, depending on experience, location, and the complexity of the role. Senior professionals with advanced skills in statistical analysis, machine learning, and sports analytics tools can earn higher salaries, especially in competitive markets.

What are the typical daily responsibilities of a Data Science Sports Betting professional?

On a daily basis, a Data Science Sports Betting professional analyzes large datasets from various sports, builds and tunes predictive models, and tests new analytical algorithms to improve betting outcomes. They work closely with traders, risk managers, and software engineers to transform model outputs into actionable strategies and streamline the betting process. The role often involves monitoring real-time sports events, updating forecasts with new data, and presenting insights to both technical and non-technical stakeholders. This dynamic work environment demands continuous learning and collaboration to stay ahead of industry trends and ensure accurate, profitable recommendations.

What are the key skills and qualifications needed to thrive in the Data Science Sports Betting position, and why are they important?

To thrive as a Data Science Sports Betting professional, you need strong statistical analysis, machine learning expertise, and domain knowledge in sports betting, usually supported by a degree in data science, statistics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools, and proficiency in platforms like SQL and cloud computing services are highly valued. Excellent problem-solving skills, adaptability, and effective communication enable professionals to explain insights and collaborate across technical and non-technical teams. These skills are vital for developing robust predictive models, interpreting complex data, and driving successful betting strategies in a fast-paced, data-driven environment.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $130,000 annually, depending on experience, education, and the complexity of their analysis. Senior roles or those with specialized skills in machine learning and sports analytics can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses or incentives based on performance and contributions to team strategies.

Is there a science to sports betting?

In data science sports betting, professionals apply statistical analysis, modeling, and machine learning techniques to evaluate odds and predict outcomes. Success relies on understanding data patterns, using tools like Python or R, and continuously refining models based on new information. While it involves scientific methods, sports outcomes also depend on unpredictable factors, making it a complex field.
More about Data Science Sports Betting jobs
What cities are hiring for Data Science Sports Betting jobs? Cities with the most Data Science Sports Betting job openings:
What are the most commonly searched types of Data Science Sports Betting jobs? The most popular types of Data Science Sports Betting jobs are:
What states have the most Data Science Sports Betting jobs? States with the most job openings for Data Science Sports Betting jobs include:
What job categories do people searching Data Science Sports Betting jobs look for? The top searched job categories for Data Science Sports Betting jobs are:
Data Science Sports Betting jobs near you
Infographic showing various Data Science Sports Betting job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 73% As Needed, 18% Full Time, 5% Part Time, 1% Contract, and 1% Summer. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $100,240 per year, or $48.2 per hour.

Data Scientist I

Fanatics Betting & Gaming

Denver, CO

Other

Posted 3 days ago

Job description

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Data Science team. The role reports into the Data Science Director and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams.

Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. 

Responsibilities

  • Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
  • Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
  • Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
  • Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
  • Remain current on technology, machine learning trends, and competitive shifts within the global 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, Statistics, Engineering, or Computer Science, Economics.
  • Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
  • Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
  • Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
  • Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Preferred but not required

  • Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
  • Previous experience in iGaming (Sportsbook or Casino) is a significant plus.
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/

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