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Data Scientists

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: University of Utah
Full Time, Part Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 75000 - 105000 USD Yearly USD 75000.00 105000.00 YEAR
Job Description & How to Apply Below

Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro

FLSA Code

FLSA Code Computer Employee

Patient Sensitive Job Code?

Patient Sensitive Job Code? No

Standard Hours per Week 40

Full Time or Part Time?

Full Time or Part Time? Full Time

Shift

Shift Day

Work Schedule Summary

VP Area

VP Area U of U Health
- Academics

Department

Department 00847 - Hematology

Location

Location Campus

City

City Salt Lake City, UT

Type of Recruitment

Type of Recruitment External Posting

Pay Rate Range

Pay Rate Range 75,

Close Date

Close Date 10/31/2026

Priority Review Date (Note
- Posting may close at any time)

Priority Review Date (Note
- Posting may close at any time) 07/16/2026

Job Summary Data Scientists

Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.

Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.

Responsibilities Data Scientist, I

Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.

Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.

Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree.

This is an Entry-Level position in the General Professional track.

Job Code: P33861

Grade: P16

Data Scientist, II

Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.

Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.

Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.

This is a Developing-Level position in the General Professional track.

Job Code: P33862

Grade: P18

Data Scientist, III

Produce innovative solutions driven by exploratory data analysis from complex and…

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