What are the responsibilities and job description for the Data Scientist, Sports Analytics position at University of Pittsburgh?
Performs research, analysis, and modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols.
Pitt IT Analytics
Who We Are: The Panther One team is a subunit of the Analytics team within the University’s Pitt Digital organization. We support the Pitt Athletics Department through best-in-class data, analytics, and research & development — building and applying advanced technologies that drive revenue growth, competitive excellence, and operational efficiency.
Who we are looking for: We are seeking a data scientist to support Pitt teams through applied analytics and modeling. You bring strong technical skills, curiosity for the games, and a desire to use data to improve team and player outcomes. You believe analytics can complement coaching expertise and help Pitt teams compete at the highest level.
What you will work on: You will focus on developing models and analytical tools that inform decisions related to roster construction, player evaluation, and game strategy for select teams as assigned. Most of your work will involve building and validating predictive models, maintaining analytical datasets, and conducting research projects that provide actionable insight to Pitt coaches, staff, and administrators.
Who you will work with: The employee will collaborate closely with its Panther One team members – including data engineers, analytics engineers, and data scientists – to build solutions. This position should expect to interact with team operations, coaching, and recruiting staff to translate analytical outputs into on-field impact.
Applicants should list salary requirements in their cover letter.
Essential Functions
Working with PC related hardware equipment, software applications and telephony video conferencing systems. Written and verbal communication. Interpersonal relations. Analyzing and organizing information. Proficient knowledge of IT.
Physical Effort
Generally sedentary desk work with computer-keyboard video phone other than traveling to other buildings on campus for meetings/events on occasion. Must be able to sit or stand for prolonged periods of time.
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
Assignment Category
Full-time regular
Job Classification
Staff.Data Scientist II
Job Family
Research
Job Sub-Family
Data Science
Campus
Pittsburgh
Minimum Education Level Required
Master's Degree
Minimum Years Of Experience Required
3
Will this position accept substitution in lieu of education or experience?
Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.
Work Schedule
M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, urgent support, or scheduled downtime changes. May be responsible for manning an escalation/on-call phone number.
Work Arrangement
Hybrid: Combination of On-Campus and Remote work as determined by the department.
Hiring Range
TBD Based Upon Qualifications
Relocation Offered
Yes
Visa Sponsorship Provided
No
Background Check
For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances
Not Applicable
Required Documents
Resume, Cover Letter
Optional Documents
Not Applicable
Pitt IT Analytics
Who We Are: The Panther One team is a subunit of the Analytics team within the University’s Pitt Digital organization. We support the Pitt Athletics Department through best-in-class data, analytics, and research & development — building and applying advanced technologies that drive revenue growth, competitive excellence, and operational efficiency.
Who we are looking for: We are seeking a data scientist to support Pitt teams through applied analytics and modeling. You bring strong technical skills, curiosity for the games, and a desire to use data to improve team and player outcomes. You believe analytics can complement coaching expertise and help Pitt teams compete at the highest level.
What you will work on: You will focus on developing models and analytical tools that inform decisions related to roster construction, player evaluation, and game strategy for select teams as assigned. Most of your work will involve building and validating predictive models, maintaining analytical datasets, and conducting research projects that provide actionable insight to Pitt coaches, staff, and administrators.
Who you will work with: The employee will collaborate closely with its Panther One team members – including data engineers, analytics engineers, and data scientists – to build solutions. This position should expect to interact with team operations, coaching, and recruiting staff to translate analytical outputs into on-field impact.
Applicants should list salary requirements in their cover letter.
Essential Functions
Working with PC related hardware equipment, software applications and telephony video conferencing systems. Written and verbal communication. Interpersonal relations. Analyzing and organizing information. Proficient knowledge of IT.
Physical Effort
Generally sedentary desk work with computer-keyboard video phone other than traveling to other buildings on campus for meetings/events on occasion. Must be able to sit or stand for prolonged periods of time.
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
Assignment Category
Full-time regular
Job Classification
Staff.Data Scientist II
Job Family
Research
Job Sub-Family
Data Science
Campus
Pittsburgh
Minimum Education Level Required
Master's Degree
Minimum Years Of Experience Required
3
Will this position accept substitution in lieu of education or experience?
Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.
Work Schedule
M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, urgent support, or scheduled downtime changes. May be responsible for manning an escalation/on-call phone number.
Work Arrangement
Hybrid: Combination of On-Campus and Remote work as determined by the department.
Hiring Range
TBD Based Upon Qualifications
Relocation Offered
Yes
Visa Sponsorship Provided
No
Background Check
For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances
Not Applicable
Required Documents
Resume, Cover Letter
Optional Documents
Not Applicable