Data Scientist Senior
Listed on 2026-07-08
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Location: 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. 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.
Data Scientist Senior is responsible for the development and implementation of predictive modeling algorithms and techniques to solve more complex business problems and optimize member experiences.
How You Will Make An Impact- Designs and lead predictive modeling projects to address more complex business problems determined by consultation with business partners.
- Facilitates analysis by piping and processing massive data‑streams in distributed computing environments such as Hadoop.
- Recommends appropriate batch and real‑time model scoring to drive actions.
- Provides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
- Develops advanced visualization of analysis output for business users.
- Publishes results and addresses constraints/limitations with business partners.
- Provides actionable insights to 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.
- Mentors other data scientists.
Requires a Bachelor’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 5 or more years of experience in predictive analytics or equivalent, or any combination of education and experience which would provide an equivalent background.
Preferred Skills, Capabilities And Experiences- Expert knowledge of software such as SAS and SAS Enterprise Miner and programming languages such as Python and R highly preferred.
- Experience leading end‑to‑end data science project implementation highly preferred.
- Experience managing a small team either through formal or informal reporting relationship preferred.
- PhD and experience in the healthcare sector preferred.
We offer a range of market‑competitive total rewards that include merit increases, paid holidays, Paid Time Off, incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) with match, stock purchase plan, life insurance, wellness programs and financial education resources.
Equal Employment OpportunityElevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws.
Applicants who require accommodation to participate in the job application process may contact elevancehealthj for assistance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).