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Data Science Sports Jobs in Indiana (NOW HIRING)

AEG

Data Architect

Indianapolis, IN · On-site

$61 - $78.25/hr

... Sports & Entertainment. The role spans the entire surface from raw ingestion through governed ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical ...

Jj

Lead Clinical Data Analyst

Warsaw, IN · On-site

Data Analytics & Computational Sciences Job Sub Function: Clinical Data Management Job Category ... Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports ...

Jj

Lead Statistical Programmer

Warsaw, IN · On-site

Data Analytics & Computational Sciences Job Sub Function: Biostatistics Job Category: Scientific ... Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports ...

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See Indiana salary details

$21.1K

$99.8K

$191.2K

How much do data science sports jobs pay per year?

As of May 28, 2026, the average yearly pay for data science sports in Indiana is $99,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,996.00 and $144,364.00 per year, depending on experience, location, and employer.

What is a Data Science Sports job?

A Data Science Sports job involves using data analytics, machine learning, and statistical models to extract insights from sports-related data. Professionals in this field analyze player performance, team strategies, injury prevention, and fan engagement to help teams, coaches, and organizations make data-driven decisions. They work with large datasets, build predictive models, and create visualizations to uncover trends and patterns. This role is essential in modern sports for optimizing performance, scouting talent, and enhancing the overall fan experience.

What are the key skills and qualifications needed to thrive in the Data Science Sports position, and why are they important?

To thrive in Data Science Sports, you need strong analytical skills, statistical knowledge, and experience with sports data combined with a background in mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, machine learning platforms, and relevant sports analytics software is highly valuable. Effective communication, problem-solving abilities, and a collaborative mindset are crucial soft skills in this field. These competencies enable professionals to turn complex sports data into actionable insights that drive decision-making for teams, coaches, and organizations.

What are the typical day-to-day responsibilities of a Data Science Sports professional?

In a Data Science Sports role, your daily tasks often involve extracting, cleaning, and analyzing large sets of sports-related data to uncover performance trends or predictive insights. You’ll likely collaborate closely with coaches, scouts, and other team members to translate your findings into strategic recommendations. Creating data visualizations, building predictive models, and presenting reports to non-technical stakeholders are also common parts of the job. This dynamic environment requires adaptability and a passion for both sports and data-driven problem solving.
More about Data Science Sports jobs
What are the most commonly searched types of Data Science Sports jobs in Indiana? The most popular types of Data Science Sports jobs in Indiana are:
What are popular job titles related to Data Science Sports jobs in Indiana? For Data Science Sports jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Sports jobs in Indiana look for? The top searched job categories for Data Science Sports jobs in Indiana are:
What cities in Indiana are hiring for Data Science Sports jobs? Cities in Indiana with the most Data Science Sports job openings:
Data Science Sports jobs near you
Infographic showing various Data Science Sports job openings in Indiana as of May 2026, with employment types broken down into 69% Full Time, 23% Part Time, 4% Temporary, and 4% Summer. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $99,850 per year, or $48 per hour.

Lecturer

Indiana University Academic Positions

Kokomo, IN

Other

Posted 8 days ago

Job description

Position Details
Title Lecturer Appointment Status Non-Tenure Track Department IU Indianapolis School of Science Location Indianapolis Position Summary
Lecturer

The School of Science (SoS - https://science.indianapolis.iu.edu/) at Indiana University Indianapolis (IU Indianapolis) invites applications for a full-time, non-tenure-track faculty position at the rank of Lecturer beginning August 1, 2026 in the area of digital forensics. The academic home of the selected candidates will be in one of six departments within the SoS: Biology, Chemistry and Chemical Biology, Earth and Environmental Sciences, Mathematical Sciences, Physics, or Psychology with primary teaching and service responsibilities in the Forensic and Investigative Science (FIS) Program. This position is for in-person teaching at the IU  Indianapolis campus.
 

The FIS Program is a FEPAC accredited program. The FIS program offers B.S. and M.S. degrees with forensic biology and forensic chemistry concentrations, a nonthesis M.S. program, and is starting a new B.S. degree in digital forensic. Currently, the B.S. program has over 260 students and continues to grow annually at the rate of over 100 new students per an academic term. Fall 2025, the FIS program offer new courses for the B.S. degree in digital forensic. The successful candidate will need to develop and teach such courses and assist in teaching other forensic science coursework as required in the program. The successful candidate will provide expertise that will contribute to the educational growth of students in the domains of digital forensics, mobile devices, Internet of things, and other relevant topics in forensic sciences. More information about the program can be found at https://science.indianapolis.iu.edu/forensic/ .
Applicants should hold at minimum a M.S. in Forensic Science, Cybersecurity, Computer Science, Data Science, or related field from an accredited university by the date of appointment. The field of expertise and experience must include digital forensics. Industry experience in analysis of digital evidence in civil or criminal casework either in the private or public forensic science service is highly valued. Experience in teaching courses at the university level is preferred. Non-tenure track teaching faculty have service and scholarly work expectations in addition to their primary teaching responsibility and are eligible for promotion in the ranks of Senior Lecturer and Teaching Professor.

Applicants should submit a cover letter describing their educational background, experiences, and reasons for interest in this position, a curriculum vitae, a teaching philosophy statement (up to two pages), and the name and contact information for three references through the online application portal.
IU Indianapolis, premier urban research institution, is a national leader in life sciences research, civic engagement, service learning, first-year experiences, and assessment of institutional effectiveness. IU Indianapolis more than 22,000 students pursue Indiana University degrees across seventeen distinct schools, ranging from Business and Liberal Arts to Science and Informatics. Indianapolis, the state capital of Indiana, is the 16th largest city in the nation and is home to outstanding cultural institutions and several professional sports teams situated in a
diverse regional economy. The IU Indianapolis School of Science is comprised of above-mentioned 6 departments and 2 interdisciplinary programs and is the largest non-medical school on the IU Indianapolis campus.
Department contact for questions - Dr. Nick Manicke, e-mail address: nmanicke@iu.edu
The review of applications will begin on January 30, 2026, and continue until the position is filled.

Basic Qualifications
M.S. in Forensic Science, Cybersecurity, Computer Science, Data Science, or related field from an accredited university by the date of appointment. The field of expertise and experience must include digital forensics. Industry experience in analysis of digital evidence in civil or criminal casework either in the private or public forensic science service is highly valued. Experience in teaching courses at the university level is preferred.
Department Contact for Questions
Dr. Nick Manicke,
e-mail address: nmanicke@iu.edu
Additional Qualifications
Provide expertise that will contribute to the educational growth of students in the domains of digital forensics, mobile devices, Internet of things, and other relevant topics in forensic sciences.
Salary and Rank Commensurate with experience and qualifications Special Instructions
Applicants should submit a cover letter describing their educational background, experiences, and reasons for interest in this position, a curriculum vitae, a teaching philosophy statement (up to two pages), and the name and contact information for three references through the online application portal.
For Best Consideration Date 01/30/2026 Expected Start Date 03/01/2026 Posting Number IU-101264-2025

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