Senior Software Engineer

Posted 2 Days Ago
Be an Early Applicant
Las Vegas, NV, USA
In-Office
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Designs, develops, deploys, and monitors predictive models and machine learning solutions for healthcare and business challenges. The role involves querying and analyzing complex data, translating stakeholder needs into production-ready capabilities, establishing data science best practices, validating model performance and fairness, and presenting findings. Responsibilities also include reviewing peer work, providing technical mentorship, and identifying opportunities for advanced analytics.
Summary Generated by Built In
Requisition Number: 2399289
Our Company
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
Position Summary
As a Senior Data Scientist within Optum Technology, you will play a key role in advancing our mission to transform healthcare through advanced analytics and data-driven solutions. In this role, you will design, develop, and deploy predictive models and machine learning algorithms to solve complex business challenges, uncover actionable insights, and improve healthcare outcomes. You will collaborate closely with cross-functional technology and business teams to translate strategic goals into scalable analytical capabilities, leveraging modern cloud platforms and data science toolsets.
You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities
  • Design, build, test, and deploy predictive models, machine learning algorithms, and advanced statistical analyses to solve complex healthcare and business problems
  • Query, clean, and analyze large volumes of complex structured and unstructured data across enterprise data repositories
  • Collaborate with product, engineering, and business stakeholders to translate business requirements into scalable, production-ready data science solutions
  • Review the work of other data scientists and analysts, providing constructive technical feedback, code reviews, and mentorship
  • Develop innovative analytical approaches and establish best practices for data science workflows, model validation, and governance
  • Anticipate business and stakeholder needs, proactively identifying high-impact opportunities for advanced analytics
  • Design validation, performance tracking, and monitoring frameworks to evaluate model accuracy, fairness, and reliability in production
  • Synthesize and present complex analytical findings and model results clearly to technical and non-technical audiences

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
  • 5+ years of professional experience in data science, predictive modeling, or machine learning
  • 3+ years of programming experience using Python or R for statistical analysis and machine learning
  • 3+ years of experience writing complex SQL queries and extracting data from relational or distributed databases
  • 2+ years of experience developing and deploying machine learning models into production environments
  • 2+ years of experience utilizing machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, or XGBoost)
  • 1+ years of experience communicating analytical findings and technical concepts to business stakeholders

Preferred Qualifications
  • Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline
  • Experience working with cloud-based data science and machine learning platforms (e.g., AWS, Azure, or Google Cloud Platform)
  • Experience with distributed computing and big data tools (e.g., Spark, Databricks, Hadoop)
  • Experience with Natural Language Processing (NLP), deep learning, or large language models (LLMs)
  • Experience working within the healthcare, health insurance, or life sciences industry
  • Experience with MLOps methodologies, containerization (e.g., Docker), and model monitoring pipelines

*All Telecommuters 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 $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
#RPO, #GREEN

Skills Required

  • 5+ years of professional experience in data science, predictive modeling, or machine learning
  • 3+ years of programming experience using Python or R for statistical analysis and machine learning
  • 3+ years of experience writing complex SQL queries and extracting data from relational or distributed databases
  • 2+ years of experience developing and deploying machine learning models into production environments
  • 2+ years of experience using machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
  • 1+ years of experience communicating analytical findings and technical concepts to business stakeholders
  • Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline
  • Experience with cloud-based data science and machine learning platforms such as AWS, Azure, or Google Cloud Platform
  • Experience with distributed computing and big data tools such as Spark, Databricks, or Hadoop
  • Experience with Natural Language Processing, deep learning, or large language models
  • Experience in healthcare, health insurance, or life sciences
  • Experience with MLOps methodologies, containerization such as Docker, and model monitoring pipelines

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
  • Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
  • Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
Cebu, Philippines
Davao, Philippines
Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
Chennai, India
Dallas, TX
Detroit, MI
Dublin, Ireland
Hartford, CT
Houston, TX
Hyderabad, India
Jacksonville, FL
Las Vegas, NV
Letterkenny, Ireland
Louisville, KY
Madison, WI
Minneapolis, MN
Nashville, TN
New Delhi, India
Philadelphia, PA
Phoenix, AZ
Pune, India
Raleigh, NC
San Diego, CA
Washington, DC
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