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Remote Sports Modeling Jobs in Colorado (NOW HIRING)

Project Architect

Denver, CO · On-site +1

$85K - $114K/yr

... Aviation, Sports and Federal market sectors across the western United States and beyond. As a ... Highly Proficient in 3D modeling software: Revit, Sketchup and/or Rhino * Excellent communication ...

Remote Sports Modeling information

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.
What are the most commonly searched types of Sports Modeling jobs in Colorado? The most popular types of Sports Modeling jobs in Colorado are:
What are popular job titles related to Remote Sports Modeling jobs in Colorado? For Remote Sports Modeling jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Sports Modeling jobs in Colorado look for? The top searched job categories for Remote Sports Modeling jobs in Colorado are:
What cities in Colorado are hiring for Remote Sports Modeling jobs? Cities in Colorado with the most Remote Sports Modeling job openings:
Data Scientist with Colorado Avalanche- Contract

Data Scientist with Colorado Avalanche- Contract

Kroenke Sports & Entertainment

Denver, CO • On-site, Remote

$70K - $85K/yr

Full-time

Posted 11 days ago


Job description

Job Title: Data Scientist with Colorado Avalanche
Department: Colorado Avalanche, Hockey Ops
Location: Denver, Colorado is preferred, but could be remote (with Occasional Travel)
Reports to: Data Scientist
Employment Type: Full Time- Employment Contract- Salary
Supervisor Position: No
Posting End Date: 7/20/2026
________________________________________________________________________
Position Overview:
The Colorado Avalanche are looking to hire a full-time data scientist to work within the team’s Hockey Operations Department. This person will use their knowledge of statistical best practices and modeling techniques to analyze large datasets and present takeaways in fields such as: player and team evaluation, in-game tactics, and roster building. They will have the opportunity to work with advanced event, tracking level, and biometric datasets and will work closely with various members of the hockey operations department.
Location:
Denver, Colorado is preferred, but could be remote (with occasional travel)
Responsibilities:
  • Research, develop, and test predictive models for player evaluation and projection at all levels
  • Work with large datasets to answer questions for decision-makers including coaches and management
  • Create data visualizations, reports, profiles, and presentations that communicate methodology and key findings to audiences with a range of technical competencies
  • Collaborate with our team of analytics and hockey operations personnel to best complete projects and support our management group
  • Respond to analytics or hockey operations personnel questions and project requests in a timely fashion including at times on evenings and weekends
Required Qualifications:
  • Ability to think probabilistically and comfort dealing with uncertainty
  • Expertise in one or multiple coding language, preferably R and Python
  • Experience building predictive models of various types from large, complex datasets
  • Strong verbal and written communication skills
Preferred Qualifications:
  • 1-3 years of work experience in a data analysis and/or modeling-related position
  • An advanced degree in computer science, applied mathematics, predictive analytics, statistics, or a related field
  • Expertise in AI, machine learning, and building models with spatio-temporal data
  • A comfort level working with SQL and relational databases in a cloud computing environment, preferably Azure or AWS
  • Experience building dashboards, web applications, and interactive data visualizations, which can include working in Shiny or Power BI
  • Knowledge of NHL players and teams as well as a passion for hockey and hockey analytics
Compensation:
  • Salary Range: $70k-$85k, Contract Employee
Applications must be received by: 07/20/2026
Equal Employment Opportunity
Kroenke Sports amp; Entertainment (KSE) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.