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Sports Analytics Machine Learning Jobs in North Carolina

CoVar

Machine Learning Engineer

Durham, NC · On-site

Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing • AI/ML expertise: Machine learning fundamentals;

CoVar

Machine Learning Engineer

Durham, NC

Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning fundamentals;

Vadum Inc

Machine Learning Engineer

Raleigh, NC

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

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Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.

What are popular job titles related to Sports Analytics Machine Learning jobs in North Carolina?

For Sports Analytics Machine Learning jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Sports Analytics Machine Learning jobs in North Carolina look for?

The top searched job categories for Sports Analytics Machine Learning jobs in North Carolina are:

What cities in North Carolina are hiring for Sports Analytics Machine Learning jobs?

Cities in North Carolina with the most Sports Analytics Machine Learning job openings:

Sports Analytics Machine Learning jobs near you
Infographic showing various Sports Analytics Machine Learning job openings in North Carolina as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 92% In-person, and 8% Hybrid job distribution.

Machine Learning Engineer

Durham, NC • On-site

CoVar
11 - 50 employees
Learn more about CoVarexternal

Full-time

Re-posted 15 days ago

Job description

Job Summary:
CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. In this role, you will help develop software and machine learning algorithms to address real-world customer challenges, working closely with data and presenting your findings to high-level customers.
Responsibilities:
• help CoVar develop software and machine learning algorithms to solve real-world customer problems
• work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems
• present your work to high-level customers in the DoD and in the industry
• opportunities to publish novel work in both classified and unclassified settings.
Qualifications:
Required:
• Expertise in Python (including NumPy, pandas, and other packages)
• Experience with either PyTorch or TensorFlow
• Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices)
• Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression)
• Familiarity with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques
• Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing
• AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
• B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
• Excellent technical communication skills
• Ability to work in Durham, NC (relocation assistance available)
• Eligibility for US security clearance (US citizenship is required)
Preferred:
• Previous experience with DoD customers
• Department of Defense project experience
• Active US security clearance (secret or higher)
Company:
CoVar is a leader in machine learning and artificial intelligence solutions. Founded in 2011, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.

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