Data Scientist - Student Success Analytics (Hybrid)

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

Job summary

The University of Pittsburgh is seeking a Data Scientist to support analytics in the Provost’s Office, focusing on student success and institutional planning. You will conduct analyses, collaborate with stakeholders, and apply techniques including regression, machine learning, and data mining using SAS, R, SPSS and Python.

Qualifications include a Master’s degree in a related field, 3+ years of experience, and proficiency in SQL and Tableau.

Qualifications

• Master's degree in statistics, analytics, data science, CS, information sciences or related field.
• 3+ years of experience.
• Experience with SAS, R, SPSS or Python and ML techniques.
• Collaborative, multitask capable and deadline-driven.
• Proficient in SQL and data visualization.
• Familiarity with Alteryx; higher education experience preferred.

Responsibilities

• Conduct data science projects to support data-informed decision-making for student success and planning.
• Collaborate with stakeholders on deliverables related to student success, enrollment trends, rankings, and program evaluations.
• Design, execute, and interpret statistical analyses using SAS, R, SPSS or Python.
• Apply regression, ML, data mining and clustering with tools like SAS, R, SPSS, Python.
• Manage multiple projects concurrently and meet timelines.

Skills

Statistical analysis

Team collaboration

Project management

Deadline driven

Query writing

Data visualization

Education

Master's Degree in Statistics or related field

Tools

SAS

R

SPSS

Python

SQL

Tableau

Alteryx

Job description

The University of Pittsburgh is seeking a Data Scientist to support analytics in the Provost’s Office, focusing on student success and institutional planning. You will conduct analyses, collaborate with stakeholders, and apply techniques including regression, machine learning, and data mining using SAS, R, SPSS and Python.

Qualifications include a Master’s degree in a related field, 3+ years of experience, and proficiency in SQL and Tableau.