Data Scientist

Elevance Health•Colorado Springs, IN

11h•Hybrid

About The Position

Data Scientist PLEASE NOTE: This position is not eligible for current or future visa sponsorship. Location : 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. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. National Government Services is a proud member of Elevance Health's family of brands. We administer government contracts for Medicare and partner with the Centers for Medicare and Medicaid Services to transform federal health programs. The Data Scientist is responsible for the development and implementation of predictive modeling algorithms and techniques to solve business problems and optimize member experiences. In addition to healthcare-centric data experience, we are looking for someone who is looking to expand in an AI development role, bring creativity into their job and innovate how we best serve our customers. How You Will Make An Impact: Design predictive modeling projects to address specific business problems determined by consultation with business partners. Work 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. 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. Develop 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. 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. Minimum 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. This position is part of our NGS (National Government Services) division which, per CMS TDL 190275, requires foreign national applicants meet the residency requirement of living in the United States at least three of the past five years. Preferred Skills, Capabilities & Experiences: Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent is strongly preferred. PhD and experience in the healthcare sector preferred. Experience in Jupyter notebook server and notebooks and MLFlow is highly preferred. General working knowledge of the following tech/platform stack is preferred (Spark , EzPresto , KubeFlow, Airflow , Feast , Ray and Superset). Experience with version control systems (Git/Bitbucket/Github, etc.) is preferred. SQL experience preferred. For candidates working in person or virtually in the below location(s), the salary range for this specific position is $106,480 to $159,720. Locations: Colorado In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws. The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

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.
This position is part of our NGS (National Government Services) division which, per CMS TDL 190275, requires foreign national applicants meet the residency requirement of living in the United States at least three of the past five years.

Nice To Haves

Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent is strongly preferred.
PhD and experience in the healthcare sector preferred.
Experience in Jupyter notebook server and notebooks and MLFlow is highly preferred.
General working knowledge of the following tech/platform stack is preferred (Spark , EzPresto , KubeFlow, Airflow , Feast , Ray and Superset).
Experience with version control systems (Git/Bitbucket/Github, etc.) is preferred.
SQL experience preferred.

Responsibilities

Design predictive modeling projects to address specific business problems determined by consultation with business partners.
Work 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.
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.
Develop 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.
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.