Hybrid Data Science Solutions Lead - Build Insights

Elevance Health; Grand Prairie (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Stock purchase plan

Wellness programs

Job summary

Elevance Health is seeking a Data Science Solutions Lead to drive design and development of analytic models, applications, and supporting tools in a big data ecosystem. This role leads cross‑functional teams, delivering end‑to‑end analytics while mentoring consultants and aligning with business stakeholders.

The position requires advanced data engineering and modeling skills, hands-on experience with cloud and big data technologies, and a strong ability to translate business needs into scalable

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Engineering, Data Science, or related.
• Five (5) years in any occupation with experience in predictive analytics, or related.
• Three (3) years of experience with Hadoop Technologies.
• Three (3) years of Teradata experience and complex SQL.
• Three (3) years of experience with Python object‑oriented programming, shell scripting.
• Three (3) years of experience with data warehouse technologies and relational databases.
• Three (3) years of experience defining project solution approach in a team environment using Agile methodologies.
• Two (2) years of experience with Cloud (AWS, GCP, or Azure), Elastic Kubernetes Service, Docker, Jenkins.
• Two (2) years of experience with Data Science modeling techniques.
• Two (2) years of experience leveraging at least 4 of the following technologies: HDFS, Hive, Sqoop, MapReduce, Impala, Spark.
• Employer will accept a Master’s degree in Computer Science, Mathematics, Engineering, Data Science, or related and three (3) years in any occupation with experience in predictive analytics, or related. Must have skills listed above.

Responsibilities

• Lead the design, implementation and delivery of an insights data pipeline supporting analytic products across the organization.
• Design and integrate data from different sources.
• Form analytics platform components and/or processing components required to provide a business solution.
• Engage with business stakeholders to design and own end-to-end solutions to empower data driven decision making.
• Leverage data, technology and quantitative methods to form products that inject analytics and insights into daily workflow of teams.
• Define application scope and objectives, including impact to interfaces.
• Ensure appropriate data testing is completed and meets test plan requirements.
• Coordinates integration actions to ensure successful implementation.
• Mentor Data Science Sol Consultants/Sr. Lead analytical projects and pilots for upgrades or enhancements.
• Analyze data sources to assess trends and develop actionable insights and recommendations.
• Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.

Skills

Python (OO)

SQL

Agile methodologies

Data analytics

Big data

Education

Bachelor's degree in CS/Math/Engineering/Data Science

Master’s degree in CS/Math/Engineering/Data Science

Tools

Hadoop

Teradata

AWS

GCP

Azure

Kubernetes

Docker

Jenkins

MapReduce

Spark

Hive

Sqoop

Impala

HDFS

Job description

Elevance Health is seeking a Data Science Solutions Lead to drive design and development of analytic models, applications, and supporting tools in a big data ecosystem. This role leads cross‑functional teams, delivering end‑to‑end analytics while mentoring consultants and aligning with business stakeholders.

The position requires advanced data engineering and modeling skills, hands-on experience with cloud and big data technologies, and a strong ability to translate business needs into scalable