Athletics Data Science & AI Fellow

Position Function:

The Athletic Data Science & AI Fellow supports the daily functions of the Athletic Data Science & AI Lab. This position assists with data analysis reporting project coordination documentation and other lab-related responsibilities in support of departmental decision-making innovation and strategic initiatives.

Salary Grade:09

Please see Staff Compensation Structure for salary ranges.

Essential Duties and Responsibilities:

1. Assist with collecting organizing reviewing and maintaining data used to support athletic department projects and initiatives.
2. Assist with researching data sources tools and technologies that may support departmental priorities.
3. Assist with preparing reports dashboards summaries and other data-related materials for review by department leadership and staff.
4. Support data analysis projects by gathering information reviewing trends and helping identify insights under the direction of the supervisor.
5. Monitor emerging trends in sports analytics data science and artificial intelligence and share relevant information with the supervisor as requested.
6. Assist athletic department personnel with basic data analytics and artificial intelligence-related questions as directed by the supervisor.
7. Follow all department and University expectations related to data integrity confidentiality and security.
8. Assist with tracking analytics data science and AI projects assigned to the lab and provide routine updates on project status.
9. Assist with coordinating project timelines meetings and deliverables to support departmental objectives.
10. Assist with tracking lab-related expenses inventory and equipment as directed.
11. Assist with maintaining lab procedures documentation and resources with emphasis on data integrity confidentiality and security.
12. Assist with communication and coordination between the athletic department campus partners and external partners on data science analytics and artificial intelligence initiatives.
13. Assist with onboarding training and providing general project guidance to undergraduate student workers assigned to the lab.
14. Help ensure student workers understand expectations related to confidentiality data security and accurate timesheet submission.
15. Ensure all assigned tasks follow department University Southeastern Conference and NCAA rules and regulations.
16. Other duties as assigned in support of data science analytics artificial intelligence departmental reporting or other lab functions.

The above essential duties are representative of major duties of positions in this position. Specific duties and responsibilities may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge skills and abilities required for the job. Not all of the duties may be assigned to a position.

Minimum Qualifications:

Bachelors Data Science Computer Science Statistics Business Analytics Sport Management or related field.

Preferred Qualifications:

1. Working knowledge of Python R SQL or similar tools.
2. Familiarity with data visualization tools such as Tableau or Power BI.
3. Familiarity with basic statistical analysis machine learning concepts or data modeling.
4. Prior experience in sports analytics data analysis or a research lab environment.
5. Interest in data science analytics and artificial intelligence within college athletics.

Knowledge Skills and Abilities:

1. Basic data entry and/or word processing skills.
2. Ability to sort check count and verify numbers.
3. Records maintenance skills.
4. Knowledge of payroll policies and procedures.
5. Knowledge of university accounting procedures involving procurement travel and/or employment.
6. Ability to prepare routine administrative paperwork.
7. Ability to perform simple accounting procedures.
8. Ability to analyze and solve problems.
9. Knowledge of cash management principles and/or procedures.
10. Ability to handle sensitive information.
11. Knowledge of NCAA and SEC rules and regulations.

Working Conditions and Physical Effort

Work is normally performed in a typical interior/office work environment.
No or very limited exposure to physical risk.
No or very limited physical effort required.

Instructions for Applying:

Please apply online and submit a resume and cover letter.

Equal Employment Opportunity Statement:

Mississippi State University is an equal opportunity institution. Discrimination is prohibited in university employment programs or activities based on race color ethnicity sex pregnancy religion national origin disability age sexual orientation genetic information status as a U.S. veteran or any other status to the extent protected by applicable law. Questions about equal opportunity programs or compliance should be directed to the Office of Civil Rights Compliance 231 Famous Maroon Band Street P.O. 6044 Mississippi State MS 39762 .

What do I do if I need an accommodation

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