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Principal Data Scientist - Remote

Pay
$112,700–193,200/year — pay source
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead end-to-end data science and machine learning model development and deployment

  • Turn business priorities into data science roadmaps with stakeholders

  • Extract and analyze complex multi-dimensional healthcare datasets

  • Set technical standards and repeatable frameworks for modeling and analytics

  • Mentor data science team members on technical work

From the employer’s posting
Lead the design, development, and deployment of end-to-end data science and machine learning models
Partner with business stakeholders and technical leadership to translate business priorities into data science roadmaps
Extract, clean, and analyze complex multi-dimensional healthcare datasets
Establish technical standards, best practices, and repeatable frameworks for statistical modeling, machine learning, and data analytics
Provide technical mentorship and guidance to data science team members

What you’ll bring

All qualifications

Core experience

  • 8+ years of professional experience developing data science, machine learning, and advanced statistical models
  • 5+ years of experience programming in Python, R, or Scala for analytical solution development
  • 4+ years of experience writing complex SQL queries and extracting data from relational or enterprise databases
  • 3+ years of experience deploying machine learning models into production environments (MLOps)
  • Demonstrated experience communicating technical concepts and analytical findings to non-technical stakeholders and business leaders

Preferred experience

  • Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
  • Experience working with healthcare datasets (e.g., medical claims, electronic health records, clinical data)
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and enterprise big data frameworks (e.g., Spark, Databricks)
Qualification wording
8+ years of professional experience developing data science, machine learning, and advanced statistical models
5+ years of experience programming in Python, R, or Scala for analytical solution development
4+ years of experience writing complex SQL queries and extracting data from relational or enterprise databases
3+ years of experience deploying machine learning models into production environments (MLOps)
Demonstrated experience communicating technical concepts and analytical findings to non-technical stakeholders and business leaders
Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
Experience working with healthcare datasets (e.g., medical claims, electronic health records, clinical data)
Experience with cloud platforms (e.g., AWS, Azure, GCP) and enterprise big data frameworks (e.g., Spark, Databricks)
Education & alternatives
Preferred Qualifications: - Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field - Experience working with healthcare datasets (e.g., medical claims, electronic health records, clinical data)
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Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 26, 20268 days ago
Recorded sightings
26
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$113K–$193K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 8

Similar jobs usually come down between day 7 and day 55.

From 10,000 similar postings that came down. Coming down is not always a hire.

UnitedHealth Group is hiring

158 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 11% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • Scala
  • SQL
  • AWS
  • Azure
  • Databricks
  • GCP
  • Spark
  • PyTorch
  • TensorFlow
Where the posting names them
- 8+ years of professional experience developing data science, machine learning, and advanced statistical models - 5+ years of experience programming in Python, R, or Scala for analytical solution development - 4+ years of experience writing complex SQL queries and extracting data from relational or enterprise databases
- 5+ years of experience programming in Python, R, or Scala for analytical solution development - 4+ years of experience writing complex SQL queries and extracting data from relational or enterprise databases - 3+ years of experience deploying machine learning models into production environments (MLOps)
- Experience working with healthcare datasets (e.g., medical claims, electronic health records, clinical data) - Experience with cloud platforms (e.g., AWS, Azure, GCP) and enterprise big data frameworks (e.g., Spark, Databricks) - Deep learning framework experience (e.g., TensorFlow, PyTorch)
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and enterprise big data frameworks (e.g., Spark, Databricks) - Deep learning framework experience (e.g., TensorFlow, PyTorch) *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Your next step

Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.

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  • Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.

Already applied? Track this application

Has UnitedHealth Group posted this job before?

Yes. We’ve followed 5 other Principal Data Scientist - Remote jobs there since April 2026. 4 came down, usually after about 23 days. One is still up.

  1. MinnetonkaCame down after 112 days, first seen Apr 28
  2. Eden PrairieCame down after 0 days, first seen Jun 11
  3. MinnetonkaCame down after 0 days, first seen Jun 11
  4. Eden PrairieCame down after 45 days, first seen Aug 25
  5. MinnetonkaStill up after 27 days, first seen Oct 8
  6. This jobUp 9 days so far, first seen Oct 26

If this one keeps the same pace, it may come down around November 18.

Large employers often post one title for several teams, so these can be separate openings.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.


As a Principal Data Scientist, you will lead the design and execution of advanced analytics, predictive modeling, and machine learning solutions to solve complex challenges. You will collaborate closely with product leaders, business partners, and engineering teams to transform vast datasets into actionable intelligence. This role offers the opportunity to drive innovative data strategies and establish best practices that shape the future of healthcare data science.


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities:

  • Lead the design, development, and deployment of end-to-end data science and machine learning models to solve strategic business problems
  • Partner with business stakeholders and technical leadership to translate business priorities into data science roadmaps and quantitative solutions
  • Extract, clean, and analyze complex multi-dimensional healthcare datasets to deliver actionable insights and predictive capabilities
  • Establish technical standards, best practices, and repeatable frameworks for statistical modeling, machine learning, and data analytics
  • Evaluate emerging technologies, algorithms, and methodologies to continuously enhance solution efficiency and performance
  • Provide technical mentorship and guidance to data science team members, fostering a culture of technical excellence and continuous learning


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 8+ years of professional experience developing data science, machine learning, and advanced statistical models
  • 5+ years of experience programming in Python, R, or Scala for analytical solution development
  • 4+ years of experience writing complex SQL queries and extracting data from relational or enterprise databases
  • 3+ years of experience deploying machine learning models into production environments (MLOps)
  • Demonstrated experience communicating technical concepts and analytical findings to non-technical stakeholders and business leaders


Preferred Qualifications:

  • Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
  • Experience working with healthcare datasets (e.g., medical claims, electronic health records, clinical data)
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and enterprise big data frameworks (e.g., Spark, Databricks)
  • Deep learning framework experience (e.g., TensorFlow, PyTorch)


*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.


Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.

 

 

UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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Pay
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
Location & working pattern

San Diego, California

Working pattern and location restrictions need checking in the full posting.

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