Anticipated End Date:2026-07-22
Position Title:Data Scientist (US)
Job Description:Data ScientistLocation: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to our Pulse Point location in Indianapolis, IN. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
The
Data Scientist is responsible for the development and implementation of predictive modeling algorithms and techniques to solve business problems and optimize member experiences.
How you will make an impact: - Designs predictive modeling projects to address specific business problems determined by consultation with business partners.
- Works with datasets of varying degrees of size and complexity including both structured and unstructured data.
- Facilitates analysis by piping and processing massive data-streams in distributed computing environments such as Hadoop.
- Implements batch and real-time model scoring to drive actions.
- Develops proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
- Develops sophisticated visualization of analysis output for business users.
- Provides high-level controllership/evaluation of all output produced to ensure established targets are met.
- Determines the continuous improvement opportunities of current predictive modeling algorithms.
- Collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.
Minimum Requirements: Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 3 or more years experience in predictive analytics, or any combination of education and experience which would provide an equivalent background.
Preferred Skills, Capabilities and Experiences:- Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent highly preferred.
- PhD and experience in the healthcare sector preferred.
Job Level:Non-Management Exempt
Workshift:Job Family:RDA > Data Science
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