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Data Science Sports Betting Jobs (NOW HIRING)

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

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Knowledge of data science and machine learning concepts * Professional working experience with MLB ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Knowledge of data science and machine learning concepts * Professional working experience with MLB ...

Data Scientist

Manhattan, NY · On-site

$98 - $128/hr

Take on data science projects from start to finish, including working with stakeholders to agree ... Interest in sports is a plus * Interest or experience in the Sports betting industry is an ...

Take on data science projects from start to finish, including working with stakeholders to agree ... Interest in sports is a plus * Interest or experience in the Sports betting industry is an ...

Take on data science projects from start to finish, including working with stakeholders to agree ... Interest in sports is a plus * Interest or experience in the Sports betting industry is an ...

Take on data science projects from start to finish, including working with stakeholders to agree ... Interest in sports is a plus * Interest or experience in the Sports betting industry is an ...

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Data Science Sports Betting information

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$23K

$100.2K

$210K

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

As of Aug 23, 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.

What is a Data Science Sports Betting?

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.

What does a Data Science Sports Betting professional do?

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 data science sports betting?

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.

Do sports teams hire data scientists?

Yes, many professional sports teams hire data scientists to analyze player performance, game strategies, and injury prevention using statistical models and data analysis tools. These roles often require skills in programming, machine learning, and sports analytics to support decision-making and improve team performance.
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:

Infographic showing various Data Science Sports Betting job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,240 per year, or $48.2 per hour.

Full-time

Re-posted 14 days ago


Job description

Sports Betting / Traders
Department: Traders
Employment Type: Full Time
Location: Remote
Description
This is a new position for traders that understand the Sportsbook business across various books as well as an understanding of the US Stock Market.
Key Responsibilities
• Interpret data and develop recommendations based on findings
• Develop visualizations, reports, and presentations of project results
• Conduct research and identify problematic areas to determine the best course of action to correct the data
• Identify, analyze and interpret trends or patterns in complex data sets
• Report on how recommendations have impacted trading
• Understand business processes and how the events in those processes are recorded in the data
Skills, Knowledge and Expertise
• Very good verbal reasoning skills
• Currently trading the US Markets
• A good knowledge of sportsbooks and trading
• Strong analytical mindset with the ability to understand and query data
• Good problem-solving ability
• Able to multi-task and work on multiple projects at once
• Willingness to learn new software
• Programming skills, API and FIX connections a plus