Data Scientist: Build Predictive Models & Product Impact

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.

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.

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.

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.

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…