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Statistics Sports Betting Jobs (NOW HIRING)

Omaze

Algorithmic Trading Senior Manager

Jersey City, NJ · On-site

$156 - $204.75/hr

Deep knowledge of sports betting markets and experience trading on traditional bookmakers * Understanding of sports statistics, handicapping, and predictive modeling for sports outcomes * Familiarity ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Deep understanding of sports betting and odds origination * Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong mathematical, statistical, and/or ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Deep understanding of sports betting and odds origination * Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong mathematical, statistical, and/or ...

Swish Analytics

Trading Analyst

San Francisco, CA

Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk * Strong understanding of sports betting fundamentals ...

Swish Analytics

Trading Analyst

San Francisco, CA

Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk * Strong understanding of sports betting fundamentals ...

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

Master's strongly preferred. * 4+ years developing and delivering effective machine learning and/or statistical models to serve real business needs in sports analytics or sports betting. * Experience ...

Trading Interview

$120 - $170/hr

Job Type Full-time Posted August 2019 The role Overview At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry.

Fliff

Sr. Manager, Risk & Trading

Philadelphia, PA · Remote

$100K - $150K/yr

... betting lines, odds, and pricing models * Familiarity with sports data and analytics tools, such as sports data feeds and statistical models * Experience with risk management techniques and tools ...

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Showing results 21-40

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Statistics Sports Betting information

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$50.5K

$86.9K

$116.5K

How much do statistics sports betting jobs pay per year?

As of Sep 3, 2026, the average yearly pay for statistics sports betting in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What is statistics sports betting?

Statistics sports betting jobs involve analyzing sports data and using statistical models to predict the outcomes of sporting events. Professionals in this field collect historical data, identify patterns, and apply mathematical techniques to inform betting decisions or provide insights to sportsbooks. Roles can range from quantitative analysts and data scientists to odds compilers and risk managers. These jobs require strong analytical skills, a deep understanding of sports, and proficiency in statistical software. Often, a background in mathematics, statistics, or computer science is preferred.

What skills and qualifications are needed to thrive as a sports betting statistician?

To thrive as a Sports Betting Statistician, you need a strong background in mathematics, statistics, and data analysis, often supported by a relevant degree. Proficiency in statistical software (such as R, Python, or Excel), database management, and sports analytics platforms is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting data and presenting insights. These skills enable accurate predictions, informed decision-making, and a competitive edge in the fast-paced sports betting industry.

What are common challenges faced by professionals in statistics sports betting roles, and how can they be managed?

Professionals in statistics sports betting often face challenges such as rapidly changing data, the need to make quick decisions under pressure, and the constant evolution of betting markets. Managing these challenges requires a strong understanding of statistical modeling, a keen eye for detail, and the ability to adapt to new information quickly. Collaborating closely with data scientists, odds compilers, and other analysts is essential for staying ahead of trends and ensuring accuracy in predictions. Continuous learning and staying updated with the latest analytical tools also play a crucial role in overcoming industry challenges.

What is the difference between Statistics Sports Betting vs Data Analyst in the sports betting industry?

AspectStatistics Sports BettingData Analyst
Required CredentialsStatistics, mathematics, sports betting certificationsStatistics, data analysis, programming skills
Work EnvironmentSportsbooks, betting companies, online platformsVarious industries including finance, marketing, sports
Industry UsageFocused on betting odds, predictive models for sportsBroader data interpretation across sectors

Statistics Sports Betting specialists focus on developing models and analyzing data specifically for sports betting odds and predictions, often requiring sports-specific knowledge. Data Analysts have a broader scope, working across multiple industries to interpret data and support decision-making. While both roles require strong statistical skills, Statistics Sports Betting professionals specialize in sports-related data, making their expertise more tailored to the betting industry.

More about Statistics Sports Betting jobs

What cities are hiring for Statistics Sports Betting jobs?

Cities with the most Statistics Sports Betting job openings:

What states have the most Statistics Sports Betting jobs?

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What job categories do people searching Statistics Sports Betting jobs look for?

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Statistics Sports Betting jobs near you
Infographic showing various Statistics Sports Betting job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 63% Full Time, 33% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL • On-site

Internship

Re-posted 11 days ago

Job description

 
The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science