Transforming how healthcare and benefits services are delivered across the country through advanced analytics, machine learning, and predictive modeling.
Requirements
- Proficient in Python or R
- Experience with SQL and/or SAS
- Strong understanding of machine learning fundamentals and statistical methods
- Proficiency in advanced analytics tools and handling large, diverse datasets
- Strong foundation in predictive modeling, machine learning, and statistical analysis
Responsibilities
- Design and apply advanced statistical models and algorithms to solve complex business problems
- Analyze structured and unstructured data to identify patterns and trends
- Contribute to model development, evaluation, and performance monitoring
- Apply strong programming skills to clean, interpret, and explore large datasets
- Translate business needs into data-driven solutions
- Deliver presentations and insights to internal and external stakeholders
Other
- 3+ years of relevant analytics experience
- Ability to communicate technical findings to non-technical audiences
- Proven ability to anticipate and resolve technical and project roadblocks
- Prior experience working in a collaborative, remote team environment
