Data Scientist Senior

Elevance Health•New York, NY

3d•$169,541 - $170,541•Hybrid

About The Position

The Data Scientist Senior is responsible for overseeing the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences. This role requires associates to be in-office 1 - 2 days 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.

Requirements

Bachelor’s degree in Statistics, Data Science, Computer Science, Operations Research, or a related field.
Five (5) years of experience in related occupation(s).
Five (5) years of experience with predictive analytics and Product and Financial analysis.
Five (5) years of experience with programming languages including Python and SQL.
Five (5) years of experience with predictive models including time series models, liner regression, logistic regression, and random forest.
Three (3) years of experience leading end-to-end data science project implementation.
Three (3) years of experience with Visualization tools including Tableau.
Three (3) years of experience with Big Data Tools including Apache Hadoop and Spark.
Three (3) years of experience with cloud platforms and AWS.

Responsibilities

Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners.
Pipe and process massive data-streams in distributed computing environments such as Hadoop to facilitate analysis.
Recommend appropriate batch and real-time model scoring to drive actions.
Provide oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
Develop advanced visualization of analysis output for business users.
Publish results and address constraints/limitations with business partners.
Provide actionable insights to output produced to ensure established targets are met.
Determine the continuous improvement opportunities of current predictive modeling algorithms.
Proactively collaborate 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.
Lead and mentor Data Scientists.