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Remote Internship Sports Betting Jobs (NOW HIRING)

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 position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Fliff

Sr. Manager, Risk & Trading

Philadelphia, PA · Remote

$100K - $150K/yr

Knowledge of sports betting markets and trends, with a deep understanding of betting lines, odds ... Remote-first work environment * Professional development in one of the fastest-growing corners of ...

Fliff

Sr. Manager, Risk & Trading

Philadelphia, PA · On-site +1

$100K - $150K/yr

Knowledge of sports betting markets and trends, with a deep understanding of betting lines, odds ... Remote-first work environment * Professional development in one of the fastest-growing corners of ...

Fliff

$100K - $150K/yr

Knowledge of sports betting markets and trends, with a deep understanding of betting lines, odds ... Remote-first work environment * Professional development in one of the fastest-growing corners of ...

Fliff

Sr. Manager, Risk & Trading

Philadelphia, PA · On-site +1

$100K - $150K/yr

Knowledge of sports betting markets and trends, with a deep understanding of betting lines, odds ... Remote-first work environment * Professional development in one of the fastest-growing corners of ...

DraftKings

Discord Community Associate

An understanding of Sportsbook or Daily Fantasy Sports products and can talk betting lines, big ... REMOTE #AC2025 Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company ...

Redfish Recruiting

Project Manager

Gilbert, AZ · On-site +1

HOF is the Bloomberg Terminal of sports betting, offering data-driven tools to help users make ... While the team is currently 100% remote, candidates must be either located in the Boston area or ...

Penn Interactive

Senior Site Reliability Engineer

$145K - $193K/yr

From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver ... Education and conference reimbursements. #LI-REMOTE Salary Range $145,000-$193,000 USD Penn ...

Penn Interactive

VIP Host

$50K - $55K/yr

Passion for sports, casino and/or sports & casino betting. #LI-REMOTE Salary Range $50,000-$55,000 USD Penn Interactive is proud to be an equal opportunity workplace. We will consider all qualified ...

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Remote Internship Sports Betting information

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How much do remote internship sports betting jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote internship sports betting in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a remote internship in sports betting?

A remote internship in sports betting is a temporary, often part-time position that allows students or recent graduates to gain experience in the sports betting industry while working from home or another remote location. Interns may be involved in activities such as data analysis, market research, content creation, or assisting with odds compilation and risk management. These internships provide valuable insights into how the sports betting market operates and help interns develop industry-specific skills using digital tools and platforms.

What are the key skills and qualifications needed to thrive as a remote internship sports betting analyst?

To thrive as a Remote Internship Sports Betting Analyst, you need strong analytical skills, a good understanding of sports and betting markets, and preferably coursework or experience in statistics or data analysis. Familiarity with data analysis tools like Excel, sports betting platforms, and possibly basic programming or database systems is often required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating remotely. These skills enable accurate analysis, informed decision-making, and successful teamwork in a fast-paced, data-driven environment.

What are some common challenges faced during a remote internship in sports betting, and how can I overcome them?

Remote internships in sports betting often require strong self-discipline and time management, as you may be working independently without direct supervision. You might also face challenges in understanding complex data analytics or navigating betting regulations, which are integral to the industry. To overcome these, proactively communicate with your team, seek feedback, and utilize available training resources. Regularly participating in virtual meetings and collaborating on projects can help you stay engaged and build industry knowledge.

What is the difference between Remote Internship Sports Betting vs Remote Internship Sports Data Analysis?

AspectRemote Internship Sports BettingRemote Internship Sports Data Analysis
Required CredentialsBasic knowledge of sports betting, analytical skillsStatistical, analytical, and data management skills
Work EnvironmentOnline, collaborative teams, industry-specific platformsOnline, data-focused tools, analytics software
Employer & Industry UsageSportsbooks, betting companies, gaming platformsSports teams, analytics firms, betting companies
Search & Comparison IntentUnderstanding betting operations, internship opportunitiesAnalyzing sports data, data analysis internships

Remote Internship Sports Betting involves gaining experience in the sports betting industry, focusing on understanding betting markets and odds. In contrast, Remote Internship Sports Data Analysis emphasizes working with sports data to generate insights and support decision-making. Both roles require analytical skills but differ in industry focus and tools used.

More about Remote Internship Sports Betting jobs

What cities are hiring for Remote Internship Sports Betting jobs?

Cities with the most Remote Internship Sports Betting job openings:

What are the most commonly searched types of Remote Sports Betting jobs?

The most popular types of Remote Sports Betting jobs are:

What states have the most Remote Internship Sports Betting jobs?

States with the most job openings for Remote Internship Sports Betting jobs include:

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

The top searched job categories for Remote Internship Sports Betting jobs are:

Remote Internship Sports Betting jobs near you
Infographic showing various Remote Internship 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 $35,995 per year, or $17.3 per hour.

Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$150K/yr

Full-time

Re-posted 18 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
You'll be joining a team that is working to develop the infrastructure for a system to optimize our simulation outputs based on a variety of external and internal signals. This role will work at the intersection of data science, trading, and data engineering to help develop and maintain trader automation algorithms that will react faster to signals as well as improve model accuracy. This position is remote from the USA or Canada.
Duties:
  • Develop infrastructure for trader automation and system performance tracking
  • Develop high-performance and low-latency products to react to external and internal signals
  • Analysis of live-streaming data and turning it into actionable decisions
  • Design and set up tests to detect unexpected changes to our models resulting from manual interactions.
  • Use extensive experience to build, test, debug, and deploy production-grade components
  • Ideate, develop, and improve machine learning and statistical models that drive Swish's core algorithms, growing into top-level simulation output modeling as we expand to new sports.
  • Develop contextualized feature sets that draw on sports-specific domain knowledge.
  • Contribute across all stages of model development - from proof-of-concept and beta testing to partnering with data engineering and product teams to deploy new models.
  • Constantly improve model performance using insights from rigorous experimentation.
  • Assess model performance, identify weaknesses, and use those findings to direct development efforts.
  • Document your work and present it clearly to technical and non-technical partners.

Requirements
  • Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical field; 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 in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
  • Excellent analytical and problem-solving ability, and a demonstrated drive to learn quickly in unfamiliar territory.
  • Experience with Python and relational SQL.
  • Strong foundation with source control (GitHub) and related CI/CD processes.
  • Strong foundation working in AWS environments.
  • Ideal candidates will have experience with Kafka, Docker, and Kubernetes
  • Ability to partner across teams on complex, ambiguous problems and communicate clearly with technical and non-technical audiences.

Base salary: Starting at $150,000 - DOE
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 those 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

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