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Full Time Nhl Data Science Jobs in Chicago, IL (NOW HIRING)

Citigroup, Inc.

Data Science Lead Analyst

Schaumburg, IL · On-site

$157.50K - $163.30K/yr

Citibank, N.A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location. Duties ... Job Family: Time Type: Full time Primary Location: Schaumburg Illinois United States Primary ...

Citigroup, Inc.

Data Science Lead Analyst

Schaumburg, IL · On-site

$163.30K/yr

Citibank, N.A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location. Duties ... Job Family: Time Type: Full time Primary Location: Schaumburg Illinois United States Primary ...

Sonsoft Inc

Data Science Analytics

Chicago, IL

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ...

Sonsoft Inc

Data Science/Analytics

Chicago, IL · On-site

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder ...

Tendo

Principal Data Scientist

Chicago, IL · On-site +1

$131.75K - $178.25K/yr

Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ... Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and ...

Tendo

Principal Data Scientist

Chicago, IL · Remote

$131.75K - $178.25K/yr

Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ... Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and ...

Tendo

Principal Data Scientist

Chicago, IL

$131.75K - $178.25K/yr

Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ... Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and ...

Tendo

Senior Data Scientist

Chicago, IL · On-site

$110.50K - $149.50K/yr

Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ... Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and ...

Tendo

Senior Data Scientist

Chicago, IL · On-site +1

$110.50K - $149.50K/yr

Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ... Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and ...

Tendo

Senior Data Scientist

Chicago, IL · Remote

$110.50K - $149.50K/yr

Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ... Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and ...

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Full Time Nhl Data Science information

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$47.4K

$170K

$250.8K

How much do full time nhl data science jobs pay per year?

As of May 28, 2026, the average yearly pay for full time nhl data science in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time NHL Data Scientist, and why are they important?

To thrive as a Full Time NHL Data Scientist, you need a strong background in statistics, data analysis, and programming, typically supported by a degree in mathematics, statistics, computer science, or a related field. Proficiency with data science tools such as Python, R, SQL, and machine learning frameworks, as well as experience with hockey analytics databases and visualization software, is essential. Strong communication, problem-solving, and teamwork skills help convey insights to coaches, analysts, and management effectively. These skills enable data-driven decision-making that can improve team performance and gain a competitive edge in the NHL.

What are some common challenges faced by data scientists working full-time in the NHL, and how can they be addressed?

One common challenge for NHL data scientists is integrating diverse data sources, such as player tracking, game statistics, and scouting reports, into actionable insights for coaches and management. Balancing real-time analysis with long-term research projects also requires strong time-management and communication skills. Collaborating effectively within multidisciplinary teams—often including coaches, scouts, and IT professionals—helps ensure that complex models translate into practical, game-improving strategies. Staying updated with the latest sports analytics tools and methodologies further supports success in this dynamic role.

What is a Full Time NHL Data Science job?

A Full Time NHL Data Science job involves using statistical analysis, machine learning, and data visualization to help National Hockey League (NHL) teams or organizations make data-driven decisions. Data scientists in this field analyze player performance, game statistics, and other data sources to provide insights that can improve team strategy, scouting, and player development. The role typically requires strong programming skills, knowledge of sports analytics, and the ability to communicate findings to coaches, managers, and executives. Full time positions offer stability, benefits, and the opportunity to work closely with hockey professionals throughout the season.

What is the difference between Full Time Nhl Data Science vs Full Time Nhl Data Analyst?

AspectFull Time Nhl Data ScienceFull Time Nhl Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skillsDegree in Analytics, Statistics, or related; basic data skills
Work EnvironmentCollaborative, research-focused, often involves modeling and machine learningOperational, reporting-focused, involves data interpretation and visualization
Employer & Industry UsageUsed by teams for predictive modeling, player performance analysis, strategic decisionsUsed for reporting, data tracking, and supporting game-day decisions

Full Time Nhl Data Science roles focus on advanced analytics, machine learning, and predictive modeling to inform strategic decisions. In contrast, Full Time Nhl Data Analysts primarily handle data reporting, visualization, and supporting day-to-day operations. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and modeling, while Data Analysts focus on data interpretation and presentation.

What are the most commonly searched types of Nhl Data Science jobs in Chicago, IL? The most popular types of Nhl Data Science jobs in Chicago, IL are:
What are popular job titles related to Full Time Nhl Data Science jobs in Chicago, IL? For Full Time Nhl Data Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Full Time Nhl Data Science jobs in Chicago, IL look for? The top searched job categories for Full Time Nhl Data Science jobs in Chicago, IL are:
Full Time Nhl Data Science jobs near you
Infographic showing various Full Time Nhl Data Science job openings in Chicago, IL as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.
Team Scientists -- Translational Data Science #MED354

Team Scientists -- Translational Data Science #MED354

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 18 days ago

University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

106th of 528 rated colleges and universities

Job description

Description
The University of Chicago's Department of Medicine is searching for full-time faculty members on the School of Medicine track, at any rank, to join the Center for Translational Data Science, which focuses on the application of data science to research problems in biology, medicine and healthcare). We seek team scientists who will lead research focusing on: a) translational data science; b) the development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science; and/or c) the development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science. Other duties will include teaching and supervision of trainees and students, and scholarly activity. Academic rank and compensation are dependent upon qualifications.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Prior to the start of employment, qualified applicants must have a doctoral degree or equivalent, in the following fields: Biomedical Data Science, Computer Science, Data Science, Informational Technology, Biomedical Informatics, or a related field.
We especially welcome applicants whose research is broadly focused in the areas of computer science, bioinformatics, data science, mathematics, information technology, genetics, genomics, and/or systems biology.
To be considered, those interested must apply through The University of Chicago's Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/163014. Applicants must upload a CV including bibliography, a cover letter, and a research statement. Review of applications will continue until the positions are filled.
For instructions on the Interfolio application process, please visit: http://tiny.cc/InterfolioHelp

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