Job Description

Data Science Lead, Sports Analytics

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). C loud 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.

Job Summary

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.
Essential Functions 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.
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 committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

Assignment Category: Full-time regular

Job Classification: Staff.Information Technology Program Assistant Director

Job Family: Information Technology

Job Sub Family: IT Project Management

Campus: Pittsburgh

Minimum Education Level Required: Bachelor's Degree

Minimum Years of Experience Required: 5

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.


Work Arrangement: 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.

Hiring Range: $130,000-$140,000

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

Compensation details: 130000-140000 Yearly Salary

PId9dbbb47ac71-30492-38145075

Job Tags

Full time, Temporary work, Remote work, Relocation, Visa sponsorship, Free visa, Shift work, Afternoon shift,

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