Data Scientist

University of Pittsburgh; Pittsburgh (Allegheny County); Hybrid; USD 40,000 - 57,000; Full time

Job summary

University of Pittsburgh is seeking a Data Scientist to support data-informed decision-making within the Provost’s Office. You will collaborate with stakeholders to deliver analyses on student success, enrollment trends, rankings, and program evaluations.

The role requires experience with statistical analyses (SAS, R, SPSS, Python), SQL, and Tableau, plus a Master’s degree in a related field. This is a hybrid position with standard campus schedule.

Qualifications

• Master’s degree in Statistics, Analytics, Data Science, Computer Science, Information Sciences, or related field is required.
• Experience conducting and interpreting statistical analyses using SAS, R, SPSS, Python is required.
• Proficient in SQL query writing and data visualization tools such as Tableau.
• Ability to work on multiple projects in a team environment and meet deadlines.

Responsibilities

• Conduct projects to support data-informed decision-making within the Provost’s Office.
• Partner with stakeholders to deliver analyses addressing student success, enrollment trends, rankings, and program evaluations.
• Design, conduct, and interpret statistical analyses using common tools and techniques including regression, ML, data mining, and clustering.

Skills

Team collaboration

Deadline-driven

Multi-project management

Analytical thinking

Education

Master's degree in Statistics, Analytics, Data Science, CS, Information Sciences, or related field

Tools

SQL

Tableau

SAS

R

SPSS

Python

Alteryx

Job description

Job Description - Data Scientist (26006829)

Data Scientist

All Temps - Pennsylvania-Pittsburgh - ( 26006829 )

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.

The University of Pittsburgh is an equal opportunity employer / disability / veteran.

Department : Institutional Research

Campus : Pittsburgh

Minimum Education Level Required : Master's Degree

Minimum Years of Experience Required : 3

Average number of working hours per week for this assignment : 37.5

Work Schedule : Monday- Friday, 8:30 a.m.- 5:00 p.m. EST

Is there a potential this assignment will result in a regular Staff position? : No

Work Arrangement : Hybrid: Combination of On-Campus and Remote work as determined by the department.

Requested Pay Rate : 35

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

The University of Pittsburgh is an equal opportunity employer / disability / veteran.