Responsibilities
- Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
- Work closely with our engineering team to integrate and build algorithms
- Process unstructured data into a form suitable for analysis – and then do the analysis
- Support business decisions with ad hoc analysis as needed
- Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools
- Inform the selection of appropriate modeling techniques to ensure that predictive models are developed using rigorous statistical processes
- Establish and maintain effective processes for validating and updating predictive models
- Analyze, model, and forecast health service utilization patterns/ trends and create capability to model outcomes of what-if scenarios for novel health care delivery models
- Collaborate with internal business, analytics and data strategy partners to improve efficiency and increase applicability of predictive models into the core software products
- Perform statistical analysis to prioritize in order to maximize success
- Identify areas for improvement, communicating action plans
- Perform strategic data analysis and research to support business needs
- Identify opportunities to improve productivity via sophisticated statistical modeling
- Explore data to identify opportunities to improve business results
- Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management
- Gain understanding of business needs and necessary analysis where appropriate through internal discussion
Requirements
- Big Data experience
- 8+ years exp in Java, Python and Scala
- With Spark and Machine Learning (3+)
- Data mining
- Data analysis
