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University of Pittsburgh

Data Scientist

University of Pittsburgh Pittsburgh, Pennsylvania, United States

Hospitals and Health Care · 10,001+ employees

8 h ago
data-scientist Mid (2-5 yrs) Full-time United States
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About the role

The Data Scientist will conduct projects to support data-informed decision-making within the Provost’s Office. They will partner with stakeholders to address issues related to student success, enrollment trends, and program evaluations.

What they look for

Statistical analysis SAS R SPSS Python Regression modeling Machine learning Data mining Clustering SQL Tableau Workflow automation Alteryx Data-informed decision-making Higher education

Requirements

Candidates must possess a Master’s degree in a quantitative field and have experience with statistical software and techniques. Proficiency in SQL and data visualization tools is required, along with the ability to manage multiple projects under deadlines.

Full description

The Data Scientist will work within the Provost’s Office to conduct projects to support data-informed decision-making. The Data Scientist will partner with key stakeholders to provide deliverables to address issues, including student success, enrollment trends, rankings, and program evaluations. The candidate must have experience conducting and interpreting statistical analyses using common statistical software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g. regression modeling, machine learning, data mining, clustering).

The candidate must have experience working within a team environment, be able to work on multiple projects simultaneously, and work well under pressure to meet deadlines. The candidate must be proficient in query writing (e.g., SQL) and visualization software (e.g., Tableau). In addition, the candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g. regression modeling, machine learning, data mining, clustering). Familiarity using workflow automation tools, like Alteryx, and/or experience in higher education is a plus. Master’s Degree in Statistics, Analytics, Data Science, Computer Science, Information Sciences, or related field is required.

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