Senior Data Scientist - Remote

Optum; Eden Prairie (MN); Remote; USD 92,000 - 164,000; Full time

Job summary

Optum in Minnesota is seeking a Data Scientist to support federal analytic needs, building machine learning models for program integrity and fraud, waste and abuse detection. The role emphasizes cross‑organizational collaboration and innovative data science across the health care continuum.

You will work remotely from anywhere in the U.S.; however, for hires in the Minneapolis area you will be expected to be in the office at least four days per week.

Qualifications

• 5+ years of hands-on experience developing analytic rules and models.
• 5+ years of hands-on experience with data management and advanced analytic techniques.
• 5+ years of hands-on experience coding rules and models using open-source tools.
• Demonstrated solid oral and written communication skills.

Responsibilities

• Research, design and develop analytic models using ML/DL with Python and R.
• Develop processes and timelines for training predictive models.
• Conduct data mining and preparation for fraud, waste and abuse using SQL.
• Leverage geospatial and graph analytics to support research.
• Build reports and visualizations to communicate findings to customers.
• Evaluate and vet new data science tools and platforms.
• Consult with customers to identify use cases and methodologies.

Skills

Graph analytics

Programming (Python, SQL, R)

Machine Learning

Geospatial

Cloud data management

Big Data

Data wrangling

Natural Language Processing

Math & Statistics

Data Visualization

Storytelling

Tools

Databricks

AWS SageMaker

Tableau

Job description

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.
• Demonstrated solid oral and written skills

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

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.