ZipRecruiter

Log In

1

Quantitative Researcher Machine Learning Jobs in Utah

Waystar

Data Scientist

Lehi, UT · On-site

Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning * Translates real-world Healthcare ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning * Translates real-world Healthcare ...

Patientco

Data Scientist

Lehi, UT · On-site

Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning * Translates real-world Healthcare ...

Waystar

Data Scientist

Lehi, UT · On-site

... of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning. • Translates real-world Healthcare problems to mathematical ...

Varsity Tutors

Statistics Graduate Level Tutor

Logan, UT · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Statistics Graduate Level Tutor

Provo, UT · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Enterprise Services

Applied AI Scientist

Midvale, UT · Hybrid

Strong quantitative background with applied statistics skills (distributions, hypothesis testing, regression, etc.) * Familiarity with predictive modeling, machine learning, generative AI, and data ...

next page

Showing results 1-20

All JobsQuantitative Researcher Machine Learning JobsQuantitative Researcher Machine Learning Jobs in Utah

Quantitative Researcher Machine Learning information

What are popular job titles related to Quantitative Researcher Machine Learning jobs in Utah? For Quantitative Researcher Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Quantitative Researcher Machine Learning jobs in Utah look for? The top searched job categories for Quantitative Researcher Machine Learning jobs in Utah are:
What cities in Utah are hiring for Quantitative Researcher Machine Learning jobs? Cities in Utah with the most Quantitative Researcher Machine Learning job openings:
Quantitative Researcher Machine Learning jobs near you
Infographic showing various Quantitative Researcher Machine Learning job openings in Utah as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Scientist

Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago

Job description

ABOUT THIS POSITION
We are looking for an experienced Data Scientist. The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of predictive modeling and data driven strategies across Waystar. applying machine learning, predictive modeling, and analytic components to maximize operational outcomes for healthcare providers. The ideal candidate for this position will have exposure to the healthcare revenue cycle, 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 other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.

  • 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 new applications of machine learning and analytic technology within 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 succinctly. 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

  • Demonstrated competency in R/Python predictive modeling

  • Demonstrated competency in RDBMS (e.g. SQL Server)

WHAT YOU'LL NEED
  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Presentation abilities and the ability to communicate with all levels of the Business.

  • Comfortable working in ambiguous areas where learning and adaptability are key skills.

  • Competent communication and interpersonal skills

  • Proficient in Microsoft Office applications

  • Bachelor's degree in the fields of Computer or Data Science, Statistics, or Mathematics is required. Additional experience and/or education in healthcare, business operations or other areas 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 KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ 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.

Apply