IT is different here. Our work as technology specialists pushes the boundaries of what’s possible in health care. You will build solutions that make a real difference in people’s lives. Driven by the importance of their work, our team members innovate to elevate. We’re encouraged to be curious, collaborate, and turn ideas into solutions that came make health care better for all.
In this role you will develop accurate and quality analyses that translate data in sound organizational decisions. The focus of this position is a mix of causal inference and Data Science. Experience and domain knowledge in Marketing or Social Responsibility is a plus.
If you are ready to make a career out of making a difference, then you are the person for this team.
What You Will Do
Own delivery of moderately sized data science and engineering projects
Assist in the development and testing of hypotheses across all functional data sets
Participate in requirements gathering sessions with business and technical staff to distill technical requirement from business requests
Define and implement integrated data models, allowing integration of data from multiple sources
Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation
Define and implement data stores based on system requirements and consumer requirements
Design and develop models to understand and solve complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis
Design and implement production models leveraging technologies such as SAS, Python, and R
Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues
Apply conceptual understanding of Big Data systems to data set engineering and analytic model implementation
Participate in reviews of analytic models and algorithms
Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups
Document and test analytic processes including performance and thorough data validation and verification
What You Bring
- Bachelor's degree or advanced degree (where required)
- 3+ years of experience in related field.
- In lieu of degree, 5+ years of experience in related field.