ZipRecruiter

Log In

1

Data Science Sports Betting Jobs (NOW HIRING)

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 +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

$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

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ...

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 ...

Fanatics

Data Scientist III - FES

Manhattan, NY · On-site

Required : • A minimum of 3-5 years proven experience in a data science or advanced analytics ... trading cards, sports betting, content, events, and more. Founded in 2011, the company is ...

next page

Showing results 1-20

All JobsData Science Sports Betting Jobs

Data Science Sports Betting information

See salary details

$23K

$100.2K

$210K

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

As of Jul 17, 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 25% Internship, 50% Part Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $100,240 per year, or $48.2 per hour.
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 13 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • 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 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

Apply