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Data Scientist Project Manager Jobs in Utah (NOW HIRING)

Sr. Data Scientist

Lehi, UT ยท On-site

  • Medical

  • Retirement

  • PTO

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 ...

Lead Data Scientist

Holladay, UT ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role - Lead, mentor and grow the data science team and tech stack focused on developing production-grade services and capabilities - Plan and direct data science / machine learning projects within ...

Data Scientist - Applied AI Scientist

Midvale, UT ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Visa Sponsorship: This Data Scientist position is currently NOT eligible for employment visa ... optimal state management, robust RAG pipelines, and efficient system design. * Algorithmic ...

Sr. Data Scientist

Lehi, UT ยท On-site

  • Medical

  • Retirement

  • PTO

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 ...

Sr. Data Scientist

Lehi, UT ยท On-site

  • Medical

  • Retirement

  • PTO

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 ...

Sr. Data Scientist

Lehi, UT ยท On-site

  • Medical

  • Retirement

  • PTO

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 ...

They are seeking an experienced Data Scientist to solve healthcare-related problems using data ... Responsibilities : โ€ข Works closely with Application Engineering, Product Management, and ...

Staff Data Scientist

Pleasant Grove, UT ยท On-site

$90 - $130/hr

Staff Data Scientist Join Us at Pura--Reimagining Fragrance for the Future At Pura, we believe life ... They also drive projects end to end -- from data acquisition and validation through feature ...

Senior Data Scientist

Salt Lake City, UT ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with team members, product managers, and business stakeholders to identify ... Requirements * 4-7 years of experience in Data Science and the Financial Industry, preferably in ...

Senior Data Scientist

Salt Lake City, UT ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with team members, product managers, and business stakeholders to identify ... Requirements * 4-7 years of experience in Data Science and the Financial Industry, preferably in ...

New

Staff Data Scientist Join Us at Pura-Reimagining Fragrance for the Future At Pura, we believe life ... They also drive projects end to end - from data acquisition and validation through feature ...

Staff Data Scientist Join Us at Pura--Reimagining Fragrance for the Future At Pura, we believe life ... They also drive projects end to end -- from data acquisition and validation through feature ...

Data Science

Provo, UT ยท On-site

$110K - $130K/yr

You'll be the first dedicated data scientist on Discovery. You'll own the analytical foundation ... writing testable Python, managing data lifecycles (pipelines, feature stores, monitoring ...

New

Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate ... Experience: 3+ years of professional experience in Data Science, Machine Learning, or Artificial ...

Manager, Data Science & Modeling

South Jordan, UT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientists build and maintain machine learning and statistical models that address key ... Perform other duties as assigned by senior management. * Maintain ethical standards, judgment, and ...

Payer Healthcare Data Scientist, Manager

Salt Lake City, UT ยท On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Take ownership of projects, ensuring their successful planning, budgeting, execution, and ... The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ...

Showing results 41-60

Data Scientist Project Manager information

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

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a data scientist project manager?

A data scientist can become a data scientist project manager by developing leadership, communication, and project management skills, often through experience and certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and teams while maintaining technical expertise in data analysis and modeling.

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

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What are popular job titles related to Data Scientist Project Manager jobs in Utah?

For Data Scientist Project Manager jobs in Utah, the most frequently searched job titles are:

Infographic showing various Data Scientist Project Manager job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Sr. Data Scientist

Waystar

Lehi, UT โ€ข On-site

Full-time

Medical, Retirement, PTO

Re-posted yesterday


Job description

ABOUT THIS POSITION
We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.
WHAT YOU'LL DO
  • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products
  • Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning
  • Translates real-world Healthcare problems to mathematical frameworks

  • Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role

  • Understands, organizes, and communicates root causes of problems and successes succinctly

WHAT YOU'LL NEED
  • Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
  • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing

  • Understanding of orders of algorithms and how they scale
  • Demonstrated competency in R/Python predictive modeling
  • Demonstrated competency in RDBMS (e.g. SQL Server)
  • Ability to code in 1+ general purpose programming language (C#, Java, etc.)
  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Outstanding presentation abilities and the ability to communicate with all levels of the Business
  • Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
  • Outstanding communication and interpersonal skills
  • Must possess strong analytical, problem-solving, and writing skills
  • Proficient in Microsoft Office applications

  • Detail-oriented

  • Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred
  • An aptitude for medical informatics is preferred

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLASยฎ or Category Leader awards since 2010 and earned multiple #1 rankings from Black Bookโ„ข surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.