Panthers Data and Analytics represents the Univ of Pittsburgh Athletics Department as part of the Pitt IT Analytics team. Our mission “Improve decision-making by managing data from source to strategy.” We help Athletics improve 4 domains areas: administration, revenue generation, sports performance sports analytics.

We are looking for an experienced data science individual contributor for a unique multi-sport data program aimed at improving competitive outcomes for a division I NCAA athletics department. You believe data science analytics can positively impact success of college athletics teams are eager to help Pitt teams win championships.

You will work closely w/ Engineering, Analytics Data Science teammates to build data solutions informing decision-making for talent identification, roster management sports administration. Factors impact your efforts: player evals, coaching, scholarships, injuries, transfer portal.

You will work w/cross-functional team w/ hybrid work structure (on-site remote staff). Collaborate w/ team of data analytics engineers scientists. Athletics coaches/staff external partners.

Required Technical Experience: relevant data science/analytics exp incl developing quantitative machine learning models; Python or R; database technologies (data lake warehouse) SQL;version control systems (GitHub). Cloud technology familiarity enabling data science work (AWS).

Required non-technical experience: Passion for American Football a strong understanding of the game; Communicate effectively with “translate” between technical non-technical parties; Strong collaboration skills with a demonstrated ability to work well in a team; Self-directed, motivated comfortable working in a fast-paced environment; Aptitude for managing diverse projects navigating through shifting priorities and demands.

Desired (but not mandatory) experience: Experience working in or with a sports front office on player evaluation/valuation projects; developing deploying scalable machine learning models in the sports analytics space (e.g. high-dimensional tracking data modeling, video-based tasks including action recognition event detection, sports NLP tasks such as scouting reports generation analysis commentary analysis)

Pitt offers a robust retirement 100% employer match, 150% after vesting. 11 Paid Holidays. Paid Vac, Sick,Personal. Winter Recess Paid Time Off.Above-average Employer Contribution toward Medical, Prescription Drug, Dental, Vision. Education benefits for staff, spouses/partners, dependents. Student loan assistance. Free transit pass.

Pitt Information Technology (Pitt IT) creates experiences that delight, inspire, and empower people to impact education, research, and the broader community. Your efforts will be supporting a world-renowned teaching and research facility. Pitt IT is committed to representing the diverse community we serve; to value and promote equity, humanity, and diversity. We encourage qualified individuals to apply and join us in leveraging the strengths of people belonging to every race, ethnicity, nationality, religion, gender, gender-identity, neuro-variance, sexual orientation, age, disability, and veteran status.

Manages or performs work across multiple areas of the University’s Information Technology (IT) platform and infrastructure. Conducts cost/benefit analyses, needs assessments and infrastructure impact assessments, develops project plans, and directs operations of outgoing services. Implements short- and long-term policies.

Manages or performs work across multiple areas of the University’s Information Technology (IT) platform and infrastructure. Conducts cost/benefit analyses, needs assessments and infrastructure impact assessments, develops project plans, and directs operations of outgoing services. Implements short- and long-term policies.

The employee must have a proficient knowledge of networking, PC operating systems, and application software. The employee must be able to use standard PC equipment and have strong communication and interpersonal skills.