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Sports Analytics Machine Learning Jobs in Bolingbrook, IL

Machine Learning / Data Science Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

  • Medical

  • Retirement

  • PTO

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven ... Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e ...

New

Associate Data Scientist 2027 - AI & Data Analytics

Chicago, IL ยท On-site

$60K - $61K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is a strong fit for analytical problem solvers who want to use data science, machine learning, and GenAI/ Agentic AI-enabled workflows responsibly to uncover patterns, evaluate intelligent ...

New

AI/ML Tech Partner (USA)

Jersey City, NJ ยท On-site

$121K/yr

We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and ...

AI/ML Tech Partner (USA)

Chicago, IL ยท On-site

$120K/yr

We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and ...

Lead Machine Learning Engineer

Chicago, IL ยท On-site

$105K - $139K/yr

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end ... You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ...

AI/ML Tech Partner (USA)

Chicago, IL ยท On-site

$120K/yr

We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and ...

Data Scientist

Chicago, IL ยท On-site

$120 - $160/hr

Apply machine learning, statistical modeling, and causal inference to generate insights and measurable business value * Conduct exploratory data analysis, data mining, and data preparation across ...

New

Showing results 21-40

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 Bolingbrook, IL?

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

What job categories do people searching Sports Analytics Machine Learning jobs in Bolingbrook, IL look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Sports Analytics Machine Learning jobs?

Cities near Bolingbrook, IL with the most Sports Analytics Machine Learning job openings:

Infographic showing various Sports Analytics Machine Learning job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% In-person job distribution.

Engineer II, Machine Learning Ops CBM Lab

Sralab

Chicago, IL โ€ข On-site

Full-time

Re-posted 29 days ago


Job description

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you'll be part of our life-changing mission and vision. You'll contribute to an innovative, multifaceted culture that is second to none - one that embraces collaboration, excellence, discovery and compassion. You'll play a role in something that's never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes - as we Advance Human Ability, together.

Job Description Summary

The Machine Learning Ops Engineer II works under general supervision and plays an active role in the design, development, and/or operationalization of machine learning models. This position involves responsibility in planning and managing artificial intelligence (AI) and machine learning (ML) lifecycle processes and contributing to the efficiency and effectiveness of deployed models.
The Machine Learning Ops Engineer II will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.
The Machine Learning Ops Engineer II will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.

Job Description

The Machine Learning Engineer II will:

  • Actively participates in deploying, monitoring, and scaling machine learning models in production and big data research.

  • Evaluate data sets to determine suitability for applying machine learning models and techniques.

  • Guide and assist with the collection and curation of clinical datasets.

  • Assist in the implementation and evaluation of machine learning algorithms.

  • Develop and maintain continuous integration and continuous deployment pipelines for automated training and deployment of machine learning models.

  • Manage machine learning infrastructure and optimizes resource utilization.

  • Implement monitoring solutions for model performance and health.

  • Lead small projects or initiatives related to machine learning operations.

  • Work collaboratively with data scientists to optimize model performance.

  • Advocate for best practices in machine learning operations within the team.

  • Participate in maintaining a safe work environment through adherence to policies and procedures relative to safety, fire prevention, hazard communications, security, equipment use and maintenance, infection control and vehicle safety.

  • Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.

Reporting Relationships:

  • Reports directly to a designed engineering manager.

Knowledge, Skills & Abilities Required

  • A professional level of knowledge in computer science, engineering or a related field, typically acquired through a Bachelor's Degree.

  • Minimum of 3 years of related experience working on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

  • Continues to develop professional expertise, applying institute policies and procedures to resolve a variety of issues.

  • Proficient in using version control systems, especially Git.

  • Able to manage branches, handle merge conflicts, and understand the importance of commit history and reverting changes.

  • Strong skills in Python and experience with machine learning frameworks.

  • Working proficiency with Linux and Windows operating systems.

  • Familiarity with tools for deploying machine learning pipelines (eg Docker, Kubenates).

  • Familiarity with cloud based production pipelines offered by leading manufacturers (eg Microsoft Azure, Amazon Web Services, Google Cloud, etc).

  • Ability to work independently on assigned tasks and lead small projects. Excellent problem-solving skills and the ability to troubleshoot complex issues.

  • Good communication skills in both written and verbal forms. Able to work with research subjects and clinicians in a clinical setting.

  • Able to take direction and complete defined tasks in addition to anticipating and executing follow-up actions.

  • Able to perform assignments by receiving general instructions on routine work, and detailed instructions on new projects or assignments.

  • Able to exercise judgment within defined procedures and practices to determine appropriate action.

  • Able to build stable working relationships with multidisciplinary team.

Working Conditions

  • Normal office environment with little or no exposure to dust or extreme temperature.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.

Pay and Benefits*:

Pay Range:

$72,600.00 - $120,600.00

Benefits:

Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations:https://www.sralab.org/benefits

*Benefits and benefits' eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.

Equal Employment Opportunity Employer

Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.

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Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.