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Remote Sports Modeling Jobs (NOW HIRING)

Texas Sports Academy

Virtual Guide (Remote - USA)

As a Virtual Guide with Texas Sports Academy Online, you play a key role in helping student-athletes navigate our two-hour-a-day academic model and integrated sports pathway. You will support ...

Professional Therapy Partners

$20.75 - $28.50/hr

This innovative model brings real-time telehealth consultations to student-athletes who need ... education and sport safety. We're not just building a program; we're creating a legacy of ...

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How much do remote sports modeling jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote sports modeling in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

How does a Remote Sports Modeling professional typically collaborate with data scientists and analysts to improve predictive models?

In a Remote Sports Modeling role, collaboration with data scientists and analysts is essential for refining and validating predictive models. This often involves regular virtual meetings to review model performance, share insights from statistical analyses, and troubleshoot data discrepancies. Professionals in this field are expected to communicate complex modeling concepts clearly, incorporate feedback, and work iteratively to enhance model accuracy. Effective teamwork leads to more robust predictions and can directly impact decision-making for clients or organizations.

What is the difference between Remote Sports Modeling vs Remote Sports Commentating?

AspectRemote Sports ModelingRemote Sports Commentating
Required CredentialsModeling experience, portfolio, sometimes sports knowledgeSports knowledge, broadcasting skills, sometimes journalism background
Work EnvironmentHome studio, online platformsHome studio, live or recorded broadcasts
Employer & Industry UsageSports brands, marketing agencies, media companiesBroadcast networks, online streaming services, sports media

Remote Sports Modeling involves creating visual content or promotional images related to sports, focusing on modeling skills and sports familiarity. Remote Sports Commentating entails providing live or recorded commentary on sporting events, requiring sports knowledge and broadcasting skills. While both roles are remote and industry-related, they serve different functions: one is visual promotion, the other is live narration.

What is remote sports modeling?

Remote sports modeling involves using statistical techniques, data analysis, and predictive algorithms to forecast outcomes in sporting events, all while working from a remote location. Professionals in this field analyze historical data, player statistics, and other relevant variables to build models that predict scores, player performance, or game results. These models are often used by sportsbooks, teams, or analysts for decision-making and strategy development. The remote aspect allows for flexibility, enabling professionals to work from anywhere with internet access.

What are the key skills and qualifications needed to thrive as a Remote Sports Modeler, and why are they important?

To thrive as a Remote Sports Modeler, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a relevant degree in mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, experience with statistical software, and familiarity with sports data feeds and modeling tools are commonly required. Strong problem-solving, attention to detail, and clear communication skills help you interpret data and explain complex findings to stakeholders. These skills ensure accurate predictive models, effective collaboration, and valuable insights for sports analytics or betting organizations.
More about Remote Sports Modeling jobs
What cities are hiring for Remote Sports Modeling jobs? Cities with the most Remote Sports Modeling job openings:
What are the most commonly searched types of Sports Modeling jobs? The most popular types of Sports Modeling jobs are:
What states have the most Remote Sports Modeling jobs? States with the most job openings for Remote Sports Modeling jobs include:
What job categories do people searching Remote Sports Modeling jobs look for? The top searched job categories for Remote Sports Modeling jobs are:
Remote Sports Modeling jobs near you
Infographic showing various Remote Sports Modeling job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.
Basketball Data Scientist

Basketball Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Posted 26 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 hiring Basketball 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. We're hiring a Data Scientist to support our Sports Data Models
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:
  • Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred
  • Demonstrated experience developing models at production scale for Basketball or sports betting
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Minimum of 4+ 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 $130,000
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 NBA Team Locations San Francisco, CA - Remote Remote status Fully Remote

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