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Sports Analytics Machine Learning Jobs (NOW HIRING)

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

Rapsodo

General Application (US)

Saint Louis, MO · On-site

Rapsodo Inc. is a sports analytics company that uses computer vision and machine learning to help all athletes maximize their performance. Our proprietary technology applications range from helping ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

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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.
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Sports Analytics Machine Learning jobs near you
Infographic showing various Sports Analytics Machine Learning job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.
AI/ML Subject Matter Expert (SME) / Analytics Team Lead

AI/ML Subject Matter Expert (SME) / Analytics Team Lead

Nationwide IT Services

Arlington, VA • On-site

Full-time

Posted 8 days ago

Key responsibilities

  • Provide technical leadership for analytics, machine learning, and AI initiatives as the Analytics Team Lead.

  • Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches.

  • Apply natural language processing techniques to analyze and derive insight from unstructured data.

Job description

AI/ML Subject Matter Expert (SME) / Analytics Team Lead
Nationwide IT Services, NIS, is seeking an AI/ML Subject Matter Expert (SME) / Analytics Team Lead to provide technical leadership for the design, development, and implementation of advanced analytics, machine learning, and natural language processing solutions. This position leads the analytic team and serves as the primary expert in applying statistical, analytical, and AI/ML techniques to structured and unstructured data. The AI/ML SME works closely with stakeholders, developers, and data teams to deliver scalable, mission-focused analytical solutions that support operational and business objectives.
Active Secret clearance required.
100% on-site

Key Responsibilities

  • Serve as the Analytics Team Lead and provide technical leadership for analytics, machine learning, and AI initiatives.
  • Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches.
  • Apply natural language processing (NLP) techniques to analyze and derive insight from unstructured data.
  • Use analytical and statistical programming languages such as Python, R, and SQL to perform data analysis, model development, and data manipulation.
  • Manipulate, transform, and analyze large and complex structured and unstructured datasets to support analytic objectives.
  • Develop data visualizations and analytical outputs that clearly communicate findings, trends, and recommendations to technical and non-technical stakeholders.
  • Collaborate with developers, database teams, and other technical staff to integrate AI/ML capabilities into enterprise applications and data environments.
  • Support data exploration, feature engineering, model evaluation, and performance improvement efforts.
  • Recommend and apply best practices for analytics, AI/ML development, and data handling.
  • Ensure analytic solutions are scalable, maintainable, and aligned with mission and enterprise needs.

Minimum Qualifications

  • 5+ years of in-depth knowledge of at least one analytical or statistical language, such as Python, R, or SQL.
  • At least 2 years of experience in custom machine learning and AI model training, including supervised and unsupervised learning, and Natural Language Processing (NLP) expertise focused on unstructured data.
  • 3+ years of experience with SQL database development and coding.
  • 2+ years of experience with data visualization tools.
  • 2+ years of experience manipulating unstructured data.

Preferred Qualifications

  • Educational background in Data Science or a related field is a plus.

Leadership Responsibilities

  • Lead and mentor the analytic team in the development and delivery of AI/ML and advanced analytics solutions.
  • Provide direction on model development, analytic methodologies, data usage, and technical best practices.
  • Coordinate analytic efforts with application, database, and infrastructure teams to support successful solution delivery.

Clearance Requirement

  • Active Secret clearance required.
Work Location
Work will be performed at DEA offices in Merrifield, VA; DEA Headquarters in Arlington, VA; and other offices deemed appropriate by the Government.Why Join Nationwide IT Services?
Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. We offer the opportunity to work on high-impact cybersecurity missions alongside experienced professionals in a collaborative and growth-focused environment. 

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