Job Information

University of Utah Machine Learning Analyst- Student Intern in Salt Lake City, Utah

Open Date 01/06/2021

Requisition Number PRN10845N

Job Title UU Student - Computer

Working Title Machine Learning Analyst- Student Intern

Job Grade SJ

FLSA Code Nonexempt

Patient Sensitive Job Code?

Type Non Benefited Staff / Student

Temporary? No

Standard Hours per Week 19

Full Time or Part Time? Part Time

Shift Day

Work Schedule Summary

M-F, hours to be arranged.

Is this a work study job? No

VP Area President

Department 00417 - UIT Univ Support Services

Location Campus

City Salt Lake City, UT

Type of Recruitment External Posting

Pay Rate Range $12.00/hr.

Close Date

Job Summary

We seek highly motivated students to help support the University Support Services group within the University Information Technology department. This opportunity will focus on developing predictive models, tools, and technology to enable the University to support machine learning initiatives.

AboutUIT: University Information Technology ( UIT ), 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 services. For more information aboutUITvisit http://www.it.utah.edu.

About the University: 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 thePAC-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. http://www.employment.utah.edu/staff/work.php

This is a Category IIA position: Not required on campus and able to telework during the duration of the University’s COVID -19 response. Employees and/or functions where employees are able to work remotely in order to maintain campus systems, campus operations, clinical operations, and patient care.

Responsibilities

The incumbent will work on various technical activities such as documentation, data analysis and visualization, data science, and predictive model development. The incumbent must also assist in championing the use of a coherent development framework, such as KDD , for data selection, pre-processing, transformation, and mining in addition to model selection, interpretation, and performance outputs.

Minimum Qualifications

Must be a current University of Utah Student.

Preference will be given to students with related technical coursework and/or professional experience.

Candidates will be expected to have advanced knowledge of high-dimensional, multivariate statistical analysis techniques and understand how to develop, train, and test various supervised and unsupervised learners including: classification and association algorithms, time series and regression models, and clustering and feature selection algorithms. Knowledge of ensemble learning techniques, approaches to model selection and performance measurement, and residual analysis are required. Knowledge of Oracle, Cloudera (Apache Hadoop and related projects), Spark APIs, and Docker/Kubernetes deployments are big pluses. Project management, relational database analysis, and advanced relevant programming skills (i.e., R, Python, SQL , etc.) are a plus. Knowledge of mathematical optimization using Python or Matlab are a plus. Candidates must possess appropriate 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.

Preferences

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.