Data Scientist Athletics at University Of Pittsburgh

Data Scientist, Athletics (remote)
Pitt IT Analytics - Pennsylvania-Pittsburgh - (22007540)
Panthers Data and Analytics represents the University of Pittsburgh Athletics Department as a part of the University’s Pitt IT Analytics team. Our mission is to “Improve decision-making by managing data from source to strategy.”
We represent four domains in our framework: two on-field (administration and revenue generation) and two off-field (sports science and sports analytics).The position will work on projects across all domains. Projects could include data related to transactions, products, customers, player performance, sports events, and player movement.
The position will utilize Tableau, Alteryx, R and/or Python, and AWS to create analytics solutions.
The Pitt IT Analytics team is remote but often operates in conjunction with the University’s on-site business units. The candidate should be prepared to work based on the eastern time zone.
The position will regularly collaborate with other members of the broader Pitt IT Analytics team including data engineers and data scientists.
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.
Join the team responsible for strategy, implementation, and maintenance of technology at the University of Pittsburgh—ranked by Forbes among Amazon, CDW, Cisco Systems, Google, LinkedIn, and Microsoft as one of “America’s Best Large Employers.”Applicants should include salary requirements in cover letter.
Equivalent combinations of education, relevant experience, and industry certifications may be considered per University guidelines.
3+ years preferred of experience working with complex data sets using advanced statistics or machine learning; preference toward experience specifically in any of our sports domains: administration, revenue generation, sports science, or sports analytics.
Self-directed, motivated, and comfortable working in a fast-paced environment
Communicate technical and statistical concepts effectively with non-technical parties
Advanced knowledge of quantitative programming skills in Python or R
Advanced knowledge of SQL to extract, merge and synthesize disparate datasets
Working knowledge of data visualization and dashboarding; specifically with Tableau preferred
Experience with data lake architectures and related data and analytics services in AWS preferredExperience retrieving data from APIs preferred
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Department Details Applicants (incl. internal) must include complete employment history on application and attach a current resume specifically to this requisition #.

Pitt Information Technology provides innovative services that support teaching, learning, research, and administrative functions at the University of Pittsburgh. We are committed to leveraging University resources, to enhance the experience of students, faculty, and staff; drive the digitization of campus; facilitate community engagement; and accelerate regional impact.
Assignment Category Full-time regular
Job Classification Staff.Systems/Programmer.IV
Campus Pittsburgh
Minimum Education Level Required Baccalaureate
Minimum Experience Level Required 3-5 years experience
Work Schedule M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, etc.
Work Arrangement Remote: Teams working from different locations (off-campus).
Hiring Range TBD based on qualifications
Relocation Offered No
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
Optional Documents Cover Letter