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Manager Data Scientist Jobs in Utah (NOW HIRING)

Jobtailor

Data Scientist

Riverton, UT · On-site

$140 - $210/hr

Work closely with data engineers and product managers to turn data analysis into actionable algorithms * Champion a data-driven culture and develop data science capabilities * Create standards and ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Patientco

Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Waystar

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Crew Career Center

Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

MasterCard

Data Scientist I

Holladay, UT

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

MasterCard

Senior Data Scientist

Holladay, UT

Title and Summary Senior Data Scientist Who is Mastercard? As a global technology company our ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

Gehc

Service Data Scientist

Salt Lake City, UT

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Demonstrated awareness of data management methods Demonstrated awareness of real-time analytics ...

BYU Pathway

IT Data Scientist

Bluffdale, UT · On-site

$140 - $190/hr

... managers to turn data analysis into actionable algorithms Champion a data-driven culture and help develop best-in-class data science capabilities Create standards and procedures for data science ...

New

Crew Career Center

Senior Data Scientist

Lehi, UT

... business managers. Incumbents whose primary role is technical and focused on data storage ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

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All JobsData Scientist JobsManager Data Scientist JobsManager Data Scientist Jobs in Utah

Manager Data Scientist information

See Utah salary details

$41.9K

$150.2K

$221.7K

How much do manager data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for manager data scientist in Utah is $150,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $154,800.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What are the most commonly searched types of Data Scientist jobs in Utah?

The most popular types of Data Scientist jobs in Utah are:

What cities in Utah are hiring for Manager Data Scientist jobs?

Cities in Utah with the most Manager Data Scientist job openings:

Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $150,228 per year, or $72.2 per hour.

Data Scientist

Jobtailor

Riverton, UT • On-site

$140 - $210/hr

Other

Posted 8 days ago

Job description

  • Execute large-scale models using advanced analytical, modeling, and machine learning techniques
  • Create and support a cloud-based data science solution as part of the data intelligence team
  • Create scalable, efficient, automated processes for data analysis and machine learning models
  • Work closely with data engineers and product managers to turn data analysis into actionable algorithms
  • Champion a data-driven culture and develop data science capabilities
  • Create standards and procedures for data science teams
  • Provide direction for strategic plans and product roadmaps
  • Inform requirements related to creating, tracking, collecting, and accessing data
  • Analyze and protect data, including troubleshooting
  • Follow data science best practices
  • Fulfill the technical lead role for data science solutions
  • Respond to escalated incidents and engage vendors as necessary
  • Conduct research and evaluate emerging trends
  • Aid and mentor teammates
Requirements
  • Master's degree required
  • 12 years of relevant professional experience, including eight years supporting product development activities and guiding technology decisions
  • Experience with machine learning algorithms, including Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naïve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning, and NLP
  • Expert knowledge of machine learning libraries such as scikit-learn, TensorFlow, and Keras
  • Significant experience with data mining and statistical analysis
  • Experience leading exploratory analysis with large datasets
  • Ability to lead knowledge discovery and machine learning model development
  • Established track record with data wrangling and data transformation
  • Expert coding ability in an advanced coding language such as Python
  • Senior-level understanding of statistics and mathematics
  • Ability to work with large, complex datasets using SQL or Python
  • Quantitative aptitude and ability to gather and interpret data
  • Comprehensive knowledge of multiple fields of specialization
  • Expertise in automation and deployment
  • Experience in a structured, enterprise-scale operational environment on a global scale with thousands of users
  • Exceptional written and verbal communication, including explaining complex concepts to non-technical audiences
  • Ability to mentor and train peers
  • Strong understanding of supported business processes
  • Troubleshooting ability under pressure and ability to resolve complex problems
  • Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy
  • PhD degree preferred
  • Ability to meet physical requirements such as sitting for long periods and using computer monitors/equipment
Core Competencies

Demonstrates expertise in machine learning algorithms and advanced analytical techniques, with a strong ability to lead data science initiatives and mentor teams. Proficient in creating scalable data solutions and automating processes while ensuring adherence to best practices in data science.

Highest-signal resume keywords
  • Machine Learning Algorithms
  • Expert Knowledge of Scikit-learn
  • Advanced Coding in Python
  • Data Wrangling and Transformation
  • Statistical Analysis
ATS Optimization Keywords Hard Skills
  • Machine Learning Algorithms
  • Data Mining
  • Statistical Analysis
  • Data Wrangling
  • Data Transformation
  • Automation and Deployment
  • SQL
  • Deep Learning
  • Natural Language Processing
  • Quantitative Aptitude
Soft Skills
  • Exceptional Communication
  • Mentoring Ability
  • Troubleshooting Under Pressure
Certifications & Qualifications
  • Master's Degree
  • PhD Degree Preferred
Industry Keywords
  • Data Science Best Practices
  • Data-driven Culture
  • Product Development Activities
  • Enterprise-scale Operational Environment
Tools & Technologies
  • TensorFlow
  • Keras
  • Cloud-based Data Solutions
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