Job Information

University of Utah Data Scientist in Salt Lake City, Utah

Open Date 07/12/2021

Requisition Number PRN26877B

Job Title Data Scientist

Working Title Data Scientist

Job Grade H

FLSA Code Computer Employee

Patient Sensitive Job Code? No

Standard Hours per Week 40

Full Time or Part Time? Full Time

Shift Day

Work Schedule Summary

TBD

VP Area President

Department 00417 - UIT Univ Support Services

Location Campus

City Salt Lake City, UT

Type of Recruitment External Posting

Pay Rate Range $90,000/yr. - $115,000/yr. DOE

Close Date

Open Until Filled Yes

Job Summary

UIT – University Data Management & Analytics is seeking a data scientist to support a growing data-informed culture on campus. We are looking for a data scientist who wants to help us establish a solid foundation for data science use throughout campus.

The ideal candidate for this position will have the skills and experience necessary to:

  • Performs data analysis, interprets the findings from it and explains the finding to business audience to improve operations for the campus and IT community
  • Establishment of a model development framework.
  • Uses statistical modeling to make predictions about future outcomes and in multiple scenarios. Develops recommendation models to evaluates these outcomes to recommend the best course of action.
  • With guidance from leadership, develops roadmap for data science products. Communicates this strategy to relevant partners
  • Supports business teams such as Student, HR, Finance, Auxiliary, Research, and Institutional Advancement by recommending test designs to study the impact of new initiatives
  • Develops data-driven segmentation models that predict student churn and melt, student pathway success, IT operation improvements, alumni donations, finance predictions, and research opportunities.
  • Documents assigned aspects of projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
  • Deploy data science pipelines through the use of restful APIs
  • Provides data science mentorship to junior analytical members of the team and our analytics customers.

Located in Salt Lake City, in the foothills of the Wasatch Mountains, the University of Utah is the flagship institution of the State of Utah’s system of higher education and a member of the PAC -12 Conference. Salt Lake City combines the amenities of a major metropolitan area of more than one million people with the friendliness and ease of living of a small, Western city. Seven major ski resorts are within an hour’s drive from campus, and opportunities to pursue activities from biking to hiking to fishing abound. Salt Lake is also home to the Utah Symphony and Opera, the Utah Ballet, several professional sports teams, and a wide range of other cultural and recreational activities.

University Information Technology, the central IT service provider for campus, reports to the Chief Information Officer and is responsible for many of the University of Utah’s most critical common IT resources including the campus network; the Campus Information Services ( CIS ) portal; UMail, telephone, and online collaboration services; high performance and research computing; information security; teaching and learning technologies; software licensing; and a host of other systems and applications. For more information about UIT visit http://www.it.utah.edu .

Hybrid Work Environment:

Our team operates under a hybrid work from home model dependent on the position. Our customers are primarily on campus as they serve our students. Our customers come first. Work from home days will be limited for this position, but at least 1 day a week from home will be available.

Responsibilities

This position will be responsible for becoming the go-to person for data science help on campus.

Responsible for the development of a model development framework and documentation that will be utilized for all analytic projects.

Ability to use statistical models for business driven outcomes and capability to explain the statistics to an audience with a wide range of statistical experience.

Work Environment and Level of Frequency typically required

Nearly Continuously: Office environment.

Physical Requirements and Level of Frequency that may be required

Nearly Continuously: Sitting, hearing, listening, talking.

Often: Repetitive hand motion (such as typing), walking.

Seldom: Bending, reaching overhead.

Minimum Qualifications

Bachelor’s Degree and 6-8 years of related experience in the field or related area is required.

Department Specific Qualifications:

  • SQL Programming
  • Experience with Python/R and the commonly used libraries for data science
  • Experience in visualizing models and recommendations utilizing using tools such as Tableau
  • Ability to gather requirements and business understanding as part of the data science life cycle.
  • Expertise in statistics, regression and beyond.
  • Experience in supervised and unsupervised modeling techniques
  • Experience in dimensionality reduction and feature engineering.
  • Ability to review a predictive model completed by someone else and provide feedback and explanations of how to fine-tune and improve the model.
  • Experience developing a production level model/Machine Learning end-point.

Candidate must possess basic computer skills, excellent written and verbal communication skills, and a high level of interest and initiative in learning new technologies. Successful candidate must have a positive attitude and focus on solving issues.

This position has no responsibility for providing care to patients.

Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

Preferences

Experience utilizing a Hadoop system

Type Benefited Staff

Special Instructions Summary

Additional Information

The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students.

Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action:

Director/ Title IX Coordinator

Office of Equal Opportunity and Affirmative Action ( OEO /AA)

135 Park Building

Salt Lake City, UT 84112

801-581-8365

oeo@utah.edu

Online reports may be submitted at oeo.utah.edu

For more information: https://www.utah.edu/nondiscrimination/

To inquire about this posting, email: employment@utah.edu (%20employment@utah.edu) or call 801-581-2300.

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.