Job Description
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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.
Required non-technical experience: Deep understanding and passion for American football; Desire to help Pitt Athletics be successful on and off the field; "translate" between, technical and non-technical parties.
Desired but not mandatory: Experience working in or with a sports analytics or technology organization, including collegiate or professional football programs.
Required Technical Experience: 3+ years of relevant experience in data science/analytics, including developing quantitative and machine learning models using supervised and unsupervised techniques; Demonstrated experience leveraging high-dimensional player tracking or event data for player evaluation, performance analysis, or game strategy; Proficiency in Python and/or R; Experience with database technologies(data lake and data warehouse) and SQL; version control systems (GitHub preferred); Familiarity with cloud technologies enabling data science work (AWS preferred). The University offers a robust retirement savings plan with 100% employer match, 150% after vesting. 11 Paid Holidays. Paid Vac, Sick, Personal. Add'l Winter Recess Paid Time Off. Paid Parental Leave. Above-average Employer Contribution toward Medical, Prescription Drug, Dental, Vision, Life, and more. Education benefits for staff, spouses/ partners, dependents. Student loan assistance. Free transit pass.
Job Summary
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.
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
Job Tags
Full time, Remote work, Relocation, Visa sponsorship, Free visa, Afternoon shift