"Data Scientist, Workforce & Education"

Position Summary

The Nebraska Statewide Workforce & Educational Reporting System (NSWERS) at the University of Nebraska is seeking applications from qualified individuals for the position of Data Scientist, Workforce & Education to develop research and evaluation efforts for the NSWERS organization.

The Data Scientist will work closely with the Assistant Director of Research and NSWERS partnering organizations to plan, organize, and execute research and evaluation functions. This includes both conducting and providing oversight for the technical quality of data analysis. Additional responsibilities will include providing in-house evaluation designs to inform public policy and educational practice in alignment with the NSWERS Information and Research Agenda.

Sponsorship

This position/ department is not offerring sponsorship.

About Us

NSWERS is Nebraska's P-20W data initiative, and is a partnership of the Nebraska prekindergarten, elementary, secondary, and postsecondary educational systems to use data and information to further evidence-based policy and practices. The NSWERS partners also work in affiliation with the Nebraska Department of Labor to examine the intersection of education and the workforce with the goal of providing research-based insight to meet Nebraska's current and future workforce needs. More information is available at https://nswers.org.

As part of the University of Nebraska, our employees enjoy a flexible benefits program allowing you to customize your benefits to suit your personal needs; paid vacation and sick leave in addition to 13 paid holidays; access to career-advancing educational programs, including an employee and dependent tuition benefit applicable at any of the NU campuses; and immediate vesting pre-tax retirement benefits. To learn more about the University of Nebraska visit: https://nebraska.edu/ & to learn about our benefits visit: https://nebraska.edu/faculty-and-staff.

Required Qualifications

Bachelor's degree and three (3) years data analysis experience that includes:

• Creating data visualizations
• Statistics/data modeling
• Transforming datasets, e.g. aggregating multiple csv files, summarizing, and exporting
• Using research results to write reports, papers and present findings to internal and external stakeholders including making presentations in a business or professional setting.
• Demonstrated excellent verbal and written communication skills with attention to detail.

Preferred Qualifications

Master's degree

College coursework in statistics, psychology, education, computer science, or related quantitative field.

Experience in institutional research at an educational institution

Experience with multi-level/mixed effects models for longitudinal/nested data

Experience producing reports using RMarkdown/Quarto

Ideal Candidate Statement

Ideal candidates will work cooperatively with interdisciplinary teams; have excellent problem-solving and listening skills; work with modern developments, trends, and theories in statistics, research methodology, program evaluation, and educational research; be an optimistic, positive, resilient, insightful, and performance-driven decision maker, problem solver, and consensus builder.

Compliance Requirements

Pre-employment Background Check