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Data Science Analytics Jobs in Utah (NOW HIRING)

Document analytical approaches, communicate findings, and support the deployment and ongoing improvement of data science solutions. What You Will Likely Bring * 2-4 years' experience in data science ...

Document analytical approaches, communicate findings, and support the deployment and ongoing improvement of data science solutions. What you will likely bring: * 2-4 years' experience in data science ...

Document analytical approaches, communicate findings, and support the deployment and ongoing improvement of data science solutions. What you will likely bring: * 2-4 years' experience in data science ...

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What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Architect - Staff

West Valley City, UT · On-site +1

$44.36 - $69.85/hr

A Master's Degree in an analytics-related field such as information systems, data science / analytics, statistics, computer science, mathematics. * or * 4 years of professional experience in ...

Data Science and Analytics** **MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data ...

Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management, and first-party data capabilities with ...

Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data capabilities ...

You'll own the analytical foundation that makes our recommendation system measurable, improvable ... This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ...

You'll own the analytical foundation that makes our recommendation system measurable, improvable ... This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ...

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Data Science Analytics information

See Utah salary details

$22

$49

$86

How much do data science analytics jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data science analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What can I do with data science analytics?

Data science analytics involves analyzing large datasets to extract insights, support decision-making, and solve complex problems. Professionals in this field use tools like Python, R, and SQL, and often work in industries such as finance, healthcare, or marketing to develop predictive models and visualize data. Skills in statistics, machine learning, and data visualization are essential for success in this role.

What are popular job titles related to Data Science Analytics jobs in Utah?

For Data Science Analytics jobs in Utah, the most frequently searched job titles are:

Infographic showing various Data Science Analytics job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $103,667 per year, or $49.8 per hour.

Manager Product Management Data Science

Salt Lake City, UT • On-site

JetBlue Airways Corporation
Aviation • 10K+ employees

Full-time

Medical, Life, Retirement

Posted 4 days ago


JetBlue rating

7.6

Company rating: 7.6 out of 10

Based on 83 frontline employees who took The Breakroom Quiz


Job description

Position Summary

The Data Science & Analytics team at JetBlue is an integral part of the IT Data organization which reports directly to the Chief Digital & Technology Officer due to the strategic importance of Data at JetBlue. The Data Science & Analytics team consists of Operations Data Science (ODS), Commercial Data Science (CDS), Artificial Intelligence (AI) & Machine Learning (ML) engineering, and Business Intelligence teams operating in a center-of-excellence model reporting to the Director, Data Science & Analytics. The teams develop advanced Data products and insights for all cross-functional teams at JetBlue including up/cross-skilling the internal analyst community.

The Manager, Product Management - Data Science & Analytics is responsible for leading and developing a team of Product Managers supporting JetBlue's AI, ML, and analytics product portfolio. This role establishes consistent product management practices, drives cross-domain prioritization, and ensures DS&A products deliver measurable business value. Its defining mandate is to build and own the DS&A product-management operating model-the standards, cadences, and governance that make delivery consistent and repeatable across domains.

The Manager will partner closely with Data Science, ML Engineering, Data Engineering, and business stakeholders to align strategy, execution, and adoption across the product lifecycle. This role takes a significant leadership position in building a high-performing Product Management function within the DS&A organization. Product Managers are embedded within DS&A domains and partner daily with domain Data Science managers and business sponsors; this role leads them in a matrixed model, drawing structured domain and business input into prioritization and performance decisions.

Essential Responsibilities

  • Champion product-management best practices and drive consistency across all DS&A domains
  • Lead, coach, and develop a team of Product Managers, including hiring, onboarding, goal setting, and performance management
  • Establish and maintain standardized product management practices across DS&A, including intake, discovery, documentation, roadmap management, launch readiness, and lifecycle governance
  • Coordinate cross-domain prioritization of the Ready-for-Dev queue with Data Science leadership and business stakeholders; escalate unresolved cross-domain conflicts to the Director
  • Ensure Product Managers maintain rolling 12-month roadmaps aligned with enterprise priorities and technical capacity
  • Promote consistent gathering of business and functional requirements and high-quality product documentation
  • Establish and govern launch-readiness standards-UAT, release planning, and stakeholder communication-that Product Managers execute for their own products
  • Ensure ML and analytics products have clearly defined KPI metrics tied to business outcomes and adoption targets
  • Establish portfolio-level reporting to measure product performance, usage, and value realization
  • Partner with Data Science, ML Engineering, and Data Engineering leaders to ensure alignment across delivery teams
  • Identify and recommend retirement or re-prioritization of low-impact initiatives
  • Promote consistent agile and product-management lifecycle practices across the Product Management team
  • Take a significant role in the development of crewmembers to support engagement, growth, and goal achievement
  • Other duties as assigned

Minimum Experience and Qualifications

  • Bachelor's Degree in a technical, quantitative, or business discipline; OR demonstrated capability to perform job responsibilities with a High School Diploma/GED and equivalent work experience
  • Five (5) years of relevant Product Management experience in Data, Analytics, Data Science, or related product roles
  • Two (2) years of experience managing and developing Product Managers or equivalent people leadership experience
  • Experience supporting AI, ML, analytics, or data-driven products in an enterprise environment
  • Strong understanding of product lifecycle management, KPI measurement, and agile delivery practices
  • Demonstrated ability to drive measurable business outcomes
  • Excellent communication, stakeholder management, and problem-solving skills
  • Knowledge of standard Data Science, Machine Learning, and/or BI technology stacks
  • Available for overnight travel (10%)
  • Must pass a pre-employment drug test
  • Must be legally eligible to work in the country in which the position is located
  • Authorization to work in the US is required, this position is not eligible for visa sponsorship

Preferred Experience and Qualifications

  • Advanced degree in computer science, engineering, analytics, or related field
  • Experience managing a product portfolio spanning multiple enterprise domains
  • Six (6) years of relevant industry and management experience
  • Three (3) years of relevant experience in managing the successful launch of Data Science, Machine Learning and/or Business Intelligence products using KPI metrics and product usage dashboards
  • Experience establishing product governance and standardized operating models
  • Experience with developing product roadmaps, evaluating product-market fit, organizing user workshops, planning product launches, developing change management frameworks and maintaining product KPI metrics
  • Demonstrates a strong knowledge of technology trends; industry background
  • Prior Data Science or Analytics experience

Crewmember Expectations

  • Regular attendance and punctuality
  • Potential need to work flexible hours and be available to respond on short-notice
  • Able to maintain a professional appearance
  • When working or traveling on JetBlue flights, and if time permits, all capable Crewmembers are asked to assist with light cleaning of the aircraft
  • Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun
  • Must fulfill safety accountabilities as prescribed by JetBlue's Safety Management System
  • Promote JetBlue's #1 value of safety as a Safety Ambassador, supporting JetBlue's Safety Management System (SMS) components, Safety Policy and behavioral standards
  • Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue's confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR))
  • Uphold JetBlue's safety performance metric goals and understand how they relate to their duties and responsibilities
  • Candidates must reside within 50 miles of any JetBlue BlueCity location and be able to attend in person collaboration sessions for a few days each month
  • The use of ChatGPT or any other automated tool during the interview process will disqualify a candidate from being considered for the position

Equipment:

  • Computer and other office equipment

Work Environment:

  • Eligible for hybrid work arrangements in accordance with company policy

Physical Effort: 

  • Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)

Compensation: 

  • The base pay range for this position is between $129,00.00 and $224,000.00 per year. Base pay is one component of JetBlue's total compensation package, which may also include performance bonuses, restricted stock units, as well as access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more.

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