Data Scientist (US)

About the role

The Data Scientist 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.

Responsibilities

• Develops predictive modeling algorithms and techniques to solve business problems and optimize member experiences.
• 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.

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.

Benefits

Includes a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

Pay

Details of pay are not specified in this posting.

Schedule

Associates are required to work at an Elevance Health location at least once per week, and potentially several times per week, depending on the role and location.

Who We Are

Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

How We Work

We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

Equal Employment Opportunity

Elevance 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.