Data Scientist Senior

Elevance Health•Indianapolis, IN

1d•Hybrid

About The Position

The Data Scientist Senior develops and implements predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences. This hybrid role requires associates to work in-office one day per week. The ideal candidate can report to the Pulse Point location in Indianapolis, Indiana; alternate locations may be considered for candidates within commuting distance of an office. Candidates outside a reasonable commuting distance will not be considered unless an accommodation is granted as required by law. The role designs and leads predictive modeling projects in consultation with business partners, analyzes large data streams in distributed computing environments, recommends batch and real-time model scoring, and provides oversight for the development of proprietary algorithms and customized solutions. It also develops advanced visualizations, communicates results and limitations, provides actionable insights, identifies opportunities for continuous improvement, and collaborates with business partners to identify population segments and patterns related to quality, use, cost, and other variables. The position mentors other data scientists. Elevance Health describes itself as a health company dedicated to improving lives and communities and making healthcare simpler. This is a non-management, exempt position in the Data Science job family.

Requirements

Bachelor’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or a related quantitative discipline, and at least 5 years of experience in predictive analytics or equivalent; an equivalent combination of education and experience is also accepted.

Nice To Haves

Consulting experience.
Expert knowledge of SAS, SAS Enterprise Miner, and programming languages such as Python and R.
Experience leading end-to-end data science project implementation.
Experience managing a small team through a formal or informal reporting relationship.
PhD and experience in the healthcare sector.

Responsibilities

Design and lead predictive modeling projects to address complex business problems in consultation with business partners.
Facilitate analysis by piping and processing large data streams in distributed computing environments such as Hadoop.
Recommend appropriate batch and real-time model scoring to drive actions.
Oversee development of proprietary algorithms to create customized solutions beyond standard industry tools.
Develop advanced visualizations of analysis outputs for business users.
Publish results and address constraints and limitations with business partners.
Provide actionable insights to ensure established targets are met.
Identify opportunities to continuously improve current predictive modeling algorithms.
Collaborate with business partners to identify population segments and develop actionable plans for finding patterns related to quality, use, cost, and other variables.
Mentor other data scientists.