Optum Logo

Optum

Senior Data Scientist - Remote

Posted Yesterday
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Eden Prairie, MN
92K-164K Annually
Senior level
In-Office or Remote
Hiring Remotely in Eden Prairie, MN
92K-164K Annually
Senior level
Develop machine learning, predictive, graph, geospatial, and fraud, waste, and abuse detection models for federal healthcare customers. Responsibilities include data preparation, model training, data mining, visualization, technology evaluation, and customer consultation. The role requires Python, SQL, R, cloud data management, big data, NLP, and advanced analytics expertise, with preferred experience in Databricks, AWS SageMaker, Tableau, and healthcare claims data.
The summary above was generated by AI
Requisition Number: 2395520
For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.
The Data Scientist will provide cross-organizational support for various modeling and analytic needs for federal customers, including conducting and developing frameworks to build machine learning and predictive models to support business needs such as program integrity and fraud, waste, and abuse detection. In addition, this role will be involved in vetting tools and technologies as part of the organizational technology roadmap, bringing innovation and critical input on the viability of tools to meet emerging federal customer needs. This role is crucial to the organization, understanding customers and use cases and applying proven data science techniques to meet various needs.
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:
  • Research, design and develop analytic models including predictive models using machine learning and deep learning best practices using languages such as python and R
  • Develop processes and best practices for training various predictive models including training and test data sets and timelines
  • Conduct data mining, data preparation activities in support of identifying and researching fraud, waste and abuse and other use cases using SQL and other techniques
  • Leverage additional analytic techniques in support of research such as geospatial and graph analytics
  • Build reports to summarize analyses including various charts, graphs and other visualization to be understood by customers
  • Complete training and vet new tools and technology designed for data science work including machine learning and predictive analytic platforms
  • Consult with customers and other internal staff to identify use cases, analytic needs and conceptualize methodologies for solving

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 hands-on experience developing analytic rules and models using leading edge analytic tools and best practices
  • 5+ years of hands-on experience of data management and advanced analytic techniques.
  • 5+ years of hands-on experience coding rules and models using open-source programming techniques and tools.
  • The data scientist should have a mix of proven skillsets such as:
    • Graph analytics
    • Programming (Python, SQL, R, etc.)
    • Machine Learning
    • Geospatial
    • Cloud data management
    • Big Data
    • Data wrangling, processing of large data sets
    • Natural Language Processing
    • Math and Statistics
    • Data Visualization
    • Storytelling skills
  • Demonstrated solid oral and written skills

Preferred Qualifications:
  • Experience using modeling platforms such as Databricks
  • Experience using cloud-native tools and services for data science such as AWS Sagemaker
  • Experience handling and researching big data sets including volumes in hundreds of millions; understanding of optimizing queries to improve performance
  • Experience with data visualization tools or business intelligence tools such as Tableau
  • Experience using healthcare claims data and working in fraud, waste and abuse is a plus

*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 $91,700 - $163,700 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.

Similar Jobs at Optum

Yesterday
In-Office or Remote
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads client-facing operational delivery for pre-pay and post-pay claims review services across commercial health plan clients. Oversees claims validation, fraud, waste, and error recovery savings, staffing, SLAs, budgets, compliance, quality, process improvement, implementations, and global matrix teams. Partners with clients, operations, finance, sales, research and development, and offshore teams to optimize financial and operational performance.
Yesterday
In-Office or Remote
29-52 Hourly
Mid level
29-52 Hourly
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Supports federal personnel security operations by initiating background investigations, reviewing SF-85 submissions, coordinating fingerprinting, managing security documentation and records, tracking cases and deadlines in Smartsheet, coordinating with government PERSEC representatives, and assisting with audits, reporting, credential management, and access authorization. The role requires Secret clearance, knowledge of SEAD 3, SEAD 4, FIS, Trusted Workforce 2.0, and Continuous Vetting.
Top Skills: DeersDissEappNbisSf-85Smartsheet
Yesterday
In-Office or Remote
135K-231K Annually
Senior level
135K-231K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads enterprise payroll operations, ensuring accurate, compliant, timely processing across complex multi-state or global populations. Oversees payroll teams, governance, controls, KPIs, process improvement, automation, system enhancements, audits, regulatory reporting, business continuity, and escalated issues. Partners with HR, Finance, Benefits, Payroll Tax, Technology, Compliance, and vendors while supporting organizational changes, integrations, and transformation initiatives.
Top Skills: HcmExcelMicrosoft Word

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account