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Summer Data Science Sports Betting Jobs (NOW HIRING)

Fanatics Betting & Gaming

Data Scientist I

Denver, NY · 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 ...

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

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

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

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 · On-site

$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 Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This role will work at the intersection of data science, trading, and data engineering to help ...

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This role will work at the intersection of data science, trading, and data engineering to help ...

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

Jersey City, NJ · 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 ...

Omaze

Data Science Manager

Jersey City, NJ · On-site

$149 - $186/hr

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

Jersey City, NJ · 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

Manhattan, NY · On-site

$149 - $186/hr

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

Jersey City, NJ · 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 ...

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All Jobssports betting Jobssummer JobsSummer Data Science Sports Betting Jobs

Summer Data Science Sports Betting information

What is a summer data science sports betting analyst?

A Summer Data Science Sports Betting job typically involves working as an intern or temporary data scientist for a sports betting company during the summer months. In this role, you analyze sports data, build predictive models, and generate insights to help inform betting strategies or improve the accuracy of odds. The position often includes using programming languages like Python or R, working with large datasets, and applying statistical or machine learning techniques. It's a great opportunity for students or early-career professionals to gain hands-on experience in both data science and the sports betting industry.

What types of projects or tasks can I expect to work on as a summer data science sports betting analyst?

As a Summer Data Science Sports Betting intern, you can expect to work on projects involving data collection, cleaning, and analysis of sports statistics to create predictive models for betting outcomes. You'll likely collaborate with experienced data scientists and traders to test algorithms, evaluate betting strategies, and generate actionable insights from large datasets. The work environment is typically fast-paced and collaborative, with opportunities to present findings to your team and contribute to real-time decision-making processes. This role offers hands-on experience with machine learning tools and exposure to the intersection of sports analytics and financial modeling.

What are the key skills and qualifications needed to thrive as a summer data science sports betting analyst?

To thrive as a Summer Data Science Sports Betting Analyst, you need strong statistical analysis skills, proficiency in programming (typically Python or R), and a solid understanding of probability and sports analytics, usually backed by coursework or a degree in a quantitative field. Familiarity with data visualization tools, machine learning libraries (such as scikit-learn or TensorFlow), and sports betting platforms is highly valuable. Analytical thinking, attention to detail, and effective communication help you interpret data-driven insights and present findings to stakeholders. These skills are crucial for developing accurate predictive models, making informed betting decisions, and succeeding in a competitive, fast-paced environment.

What is the difference between Summer Data Science Sports Betting vs Summer Data Analysis for Sports Teams?

AspectSummer Data Science Sports BettingSummer Data Analysis for Sports Teams
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of betting algorithmsDegree in Data Science, Sports Management, or related field; understanding of sports analytics
Work EnvironmentOnline platforms, betting companies, financial marketsSports teams, athletic organizations, sports analytics firms
Employer & Industry UsageBetting companies, gaming industry, financial sectorsProfessional sports teams, collegiate programs, sports analytics firms

Summer Data Science Sports Betting focuses on developing models to predict betting outcomes and optimize wagering strategies, often working with online platforms and betting companies. In contrast, Summer Data Analysis for Sports Teams involves analyzing player performance, game data, and team strategies to improve team performance. Both roles require strong data analysis skills and familiarity with sports data, but their applications and work environments differ significantly.

More about Summer Data Science Sports Betting jobs

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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 Summer Data Science Sports Betting jobs?

States with the most job openings for Summer Data Science Sports Betting jobs include:

What job categories do people searching Summer Data Science Sports Betting jobs look for?

The top searched job categories for Summer Data Science Sports Betting jobs are:

Summer Data Science Sports Betting jobs near you
Infographic showing various Summer 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 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist I

Denver, NY • On-site

Fanatics Betting & Gaming
See more jobs at Fanatics Betting & Gamingexternal

Full-time

Re-posted 4 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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