/Your Talent. Our Vision./At Anthem, Inc.,it's a powerful combination, and the foundation upon which we're creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we willdrive the future of health care.
This is an exceptional opportunity to do innovative work that means more to you and those we serve atone of America's leading health benefits companies and a Fortune Top 50 Company.
Lead a team of data-scientists engaged in development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences.
Primary duties may include are but not limited to:
Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners.
Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data.
Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Lead batch and real-time model scoring to drive actions.
Oversee development of proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
Develop sophisticated visualization of analysis output for business users.
Publish results and address constraints/limitations with business partners.
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.
Proactively 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
Hires, trains, coaches, counsels, and evaluates performance of direct reports.
Requires MA/MS in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines.
7 years' experience in predictive analytics and advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent, or any combination of education and experience which would provide an equivalent background. 3 years' experience leading advanced modeling teams.
Experience working with cross-functional project teams and managing communications including in-person or virtual meetings is required.
Experience with presenting project output to a wide range of audience is required.
Experience in Payer Fraud, Waste & Abuse detection is strongly preferred.
Must demonstrate the ability to influence audience through effective communication skills. PhD and experience in the healthcare sector preferred.
Experience with developing or leading teams developing advanced models or solutions for Fraud Waste & Abuse detection in the payer space is highly preferred.
/Anthem, Inc. is ranked as one of America's Most Admired Companies among health insurers by Fortune magazine and is a 2017 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./
Job Reporting & Data Analysis
Equal Employment Opportunity Statement
Anthem, Inc. will recruit, hire, train and promote persons in all job titles without regard to age, color, disability, gender (including gender identity), marital status, national origin, race, religion, sex, sexual orientation, veteran status, or other status protected by applicable law. In addition, all personnel actions such as compensation, promotion, demotion, benefits, transfers, staff reductions, terminations, reinstatement and rehire, company-sponsored training, education and tuition assistance, and social and recreational programs will be administered in accordance with the principles of equal employment opportunity.
Title: Director, Data Science 132150
Location: louisiana-Baton Rouge
Requisition ID: 132150
A little about us:
We have shared values and a similar mission.