ZipRecruiter

Log In

2

Remote Sports Modeling Jobs (NOW HIRING)

Swish Analytics

Senior Software Engineer

San Francisco, CA · On-site +1

$150K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Engineering & Infrastructure Role Modeling & Infra Locations San Francisco, CA - Remote ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

... latency ML models across our sports betting and daily fantasy ecosystems. What you'll do ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Kelaca

VP Finance

Boston, MA · On-site +1

Remote (UK-based or US-based preferable) Job Status: Full-time, permanent Reports to: Chief ... Build and maintain bottoms-up budgets, rolling cash flow forecasts, and long-range financial models

Swish Analytics

Rust Engineer

San Francisco, CA · On-site +1

$170K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Production model feature deep dives to explain project market lines Requirements: * Bachelor ...

Varsitybrands

Sr. Sales Planning & Analytics Manager

OR · Remote

$140K - $150K/yr

BSN SPORTS, A VARSITY BRANDS COMPANY - THE RECOGNIZED LEADER IN TEAM ATHLETIC GEAR For over 50 ... Remote United States TRAVEL: 20% travel expected COMPENSATION: The pay range for this position is ...

next page

Showing results 1-20

People also search for

All JobsSports Modeling JobsRemote Sports Modeling Jobs

Remote Sports Modeling information

See salary details

$22

$40

$76

How much do remote sports modeling jobs pay per hour?

As of Jun 7, 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.
Senior Machine Learning Operations Engineer (Remote)

Senior Machine Learning Operations Engineer (Remote)

The Athletic Media Company

Remote

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

About Us
Powered by one of the largest global newsrooms in sports media, The Athletic brings sports fans the most comprehensive stories about the teams, sports and athletes they love. The Athletic's newsroom of 500+ full-time staff delivers in-depth coverage of hundreds of professional and college teams across more than 47 North American markets and all 20 football clubs in the English Premier League, as well as many Championship clubs.
About the Role
We are looking for a senior machine learning operations engineer who understands data pipelines, infrastructure, and model monitoring. In this role, you will work closely with our data science and data engineering teams to help us productionize and maintain advanced machine learning models. As the first machine learning operations engineer on our small data science team, your work will be critical to both the data team at The Athletic and the company as a whole.
This role is 100% remote for candidates currently residing in either the United States or Canada.
Responsibilities
  • Design, build, and maintain machine learning model productionization infrastructure. These models will drive very visible product features at The Athletic, and your infrastructure is key to their success.
  • Work with the rest of the data science team to streamline model training, validation, and deployment.
  • Implement robust monitoring and alerting for model performance, drift, and data quality, ensuring our models remain accurate in production.
  • Cultivate an outstanding data science environment by championing best practices in ML Ops and evaluating and integrating new technologies into our data science stack.

Requirements
  • 4-6 years of experience as a data scientist, data engineer, or machine learning engineer with a proven ability to build machine learning model pipelines and infrastructure.
  • Strong working knowledge of Python and SQL to pull, transform, and otherwise deal with data in all of its forms.
  • Proven experience with ML frameworks (e.g., scikit-learn, PyTorch) and cloud platforms (e.g., GCP, AWS, Azure).
  • Hands-on experience with Docker, Kubernetes, and Airflow.
  • Ability to drive projects with minimal guidance and prioritize high-impact work.
  • Strong verbal and written communication skills with ability to build cross-functional relationships.
  • Can explain sophisticated concepts to diverse audiences and craft compelling stories with data.

The annual base salary range for this role is $140,000.00 - $150,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location.
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
We are excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. If you are a candidate for a technical role, we will let you know what specific tools you are permitted to use for your technical assessment.
The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law.
Click here to review our Applicant Privacy Notice, which describes how and when The Athletic Media Company collects, uses, and shares certain personal information of job applicants and prospective employees.
Beware of fraudulent job recruiting schemes! Our recruiters use [email protected] exclusively, and our team members will use an email address with @theathletic.com domain. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information, such as bank accounts or social security numbers. If you have been contacted by someone claiming to be a member of the recruiting/HR team at The Athletic but operating from a different email address about a job offer, please report it as potential job fraud to the law enforcement and to [email protected].

Apply