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.
