University of Pittsburgh · 15 hours ago
Data Scientist, Sports Analytics
The University of Pittsburgh is seeking a Data Scientist to support its Athletics Department through applied analytics and modeling. The role involves developing models and analytical tools to inform decisions related to roster construction, player evaluation, and game strategy.
Higher Education
Responsibilities
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
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
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
Qualification
Required
Master's Degree
3 years of experience
Strong technical skills
Curiosity for the games
Desire to use data to improve team and player outcomes
Ability to build and validate predictive models
Ability to maintain analytical datasets
Ability to conduct research projects that provide actionable insight
Proficient knowledge of IT
Written and verbal communication skills
Interpersonal relations skills
Ability to analyze and organize information
Benefits
Relocation Offered
Company
University of Pittsburgh
The University of Pittsburgh is a top-ranked, public institution in Pennsylvania and a member of the Association of American Universities of leading research universities.
Funding
Current Stage
Late StageLeadership Team
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