Overview
On Site
Full Time
Skills
Decision-making
Management
Coaching
Web Portals
Cross-functional Team
Collaboration
Analytics
Machine Learning (ML)
Python
R
Database
Data Lake
Warehouse
SQL
Version Control
GitHub
Cloud Computing
Data Science
Amazon Web Services
Job Details
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).
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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.