Title: Data Scientist

Employee Classification: Data Scientist

Campus: University of North Texas

Division: UNT-Enrollment Management

SubDivision-Department: UNT-Data Analytics & Instl Rsrch

Department: UNT-Data Analytics & Instl Rsrch-110110

Job Location: Denton

Salary: Commensurate with experience

FTE: 1.000000

Retirement Eligibility: TRS Eligible

About Us - Values Overview

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.

We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.

Learn more about the UNT System and how we live our values at www.UNTSystem.edu.

Department Summary

The Data, Analytics, and Institutional Research (DAIR) team is made up of professionals with a wide range of experience in higher education settings. Our team has professional credentials and degrees geared towards helping the institution improve through data informed decision making. The team is responsible for a wide array of projects.
The mission of the DAIR team is to promote sound analytic and institutional research practices, manage existing and develop new data models, and provide decision makers and external agencies with official and transactional academic, enrollment, faculty, and student data.

Position Overview

Working in partnership across the institution, DAIR is tasked with supporting analytic deployment via the Insights program, surfacing data to assist with institutional planning and policy making, and responding to other strategic data requests in accordance with the UNT mission and goals.
This position is responsible for partnering with a variety of internal and external stakeholders to perform advanced data design and analysis using a broad array of data sets to create new knowledge useful to the university. This position proactively identifies, develops, and implements analytical and institutional research studies to find creative solutions to medium to long term issues facing the university. Leverages programming, analytics and statistical processing tools to respond to requests for data, to build data sets to create statistical models, and completes regional and national surveys to impact institutional reputation and standing. Applies expert statistical methodologies to educational and administrative outcomes.

Minimum Qualifications

Master's Degree in quantitative disciplines such as Business Administration, Public Policy, Statistics, Educational Measurement, Higher Education, or a related discipline, and three years of professional experience.

Knowledge, Skills and Abilities

Experience in using SQL, SPSS or SAS or other comparable statistical analysis programs such as R and Python. Knowledge of data analysis and research design methodologies. Capacity for independent and creative thinking and writing on research and statistical problems. Ability to work with data from multiple sources. Knowledge of business intelligence and reporting tools such as SAS VA or Power BI. Excellent analytical and quantitative skills. Excellent communication skills, both verbal and written. Stays at the forefront of emerging analytics and institutional research issues in higher education.

Preferred Qualifications

Background in a variety modeling technique: GBM, logistic regression, clustering, neural networks, NLP. Technical expertise regarding data models, database design development, data mining and segmentation techniques. Ability to develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. Proactively identifies, analyzes, and interprets trends and patterns in complex data sets. Experience processing, filtering, and presenting large quantities of data. Knowledge of data analysis and research design methodologies. Ability to work with data from multiple sources and varying degrees of quality. Excellent analytical and quantitative skills. Excellent communication skills, both verbal and written. Two years of related experience in a higher education institutional research office or business intelligence capacity. Working knowledge of ERP such as PeopleSoft, SAP, or Banner. Familiarity with machine learning frameworks. Experience in machine learning/deep learning-based algorithms with structured/unstructured data.

Job Duties

Respond and consult with users to assist them in understanding reports and data.
Respond to institutional adhoc requests using SAS and SAS VIYA,.
Provide and analyze data on students and other variables as required to report to internal and external constituencies
Maintain a thorough knowledge of SAS for statistical analyses.
Complete research projects and provide summary reports of the findings.
Work as a collaborative team member who shares expertise, individual knowledge, and skills through working closely with others to increase value to the University.
Work as a liaison between internal and external functional and technical subject matter experts (SMEs) and data stewards to enhance ad hoc reporting and data visualizations.

Physical Requirements

Communicating with others to exchange information.

Environmental Hazards

No adverse environmental conditions expected.

Work Schedule

Monday -Friday 8am-5pm

Driving University Vehicle

Security Sensitive

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted.

Benefits

For information regarding our Benefits, click here.

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit - and takes actions to prevent - discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, or veteran status in its application, employment practices and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints of discrimination, harassment and related retaliation and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.

University of North Texas

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