Data Scientist Sr

at Elevance Health in CHICAGO, Illinois, United States

Job Description

Data Scientist Senior

Location: This position will work a hybrid model (remote and office). Ideal candidates will live within 50 miles of the following PulsePoint location. 233 South Wacker Drive, Suite 3700, Chicago, IL 60606

Hours: Monday to Friday, 8:00 am to 5:00 pm

The Data Scientist Senior will develop and implement predictive modeling algorithms and techniques to solve more complex business problems and optimize member experiences.

How you will make an impact:

- Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners.

- 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.

- Determines 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.

Minimum Requirements:

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Biostatistics, or a related field. Five (5) years of experience working in related occupation(s).

Additional Requirements:

Five (5) years of experience must include:

- Five (5) years of experience in predictive analysis.

- Three (3) years of experience with Python, R, and SAS Enterprise Miner.

- Three (3) years of experience leading end-to-end data science project implementation.

- Three (3) years of experience performing casual analysis and experimental design.

- Three (3) years of experience collaborating with business stakeholders to establish and communicate experimental methodologies and findings.

- ALTERNATE EDUCATION/EXPERIENCE REQUIREMENTS: Employer will accept a Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Biostatistics, or related field and three (3) years of experience with predictive analysis.

- Must have skills listed above.