Head of Data Science Solutions & Insights

Elevance Health; Town of Texas (WI); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Extensive health benefits

Job summary

Elevance Health is seeking a Data Science Solutions Lead to drive the design and development of analytic models, applications and tools within a big data ecosystem. The role will enable data scientists to create algorithms and deliver insights across the organization.

The candidate will lead cross-functional teams, integrate diverse data sources, and ensure robust testing and deployment of analytics solutions. Hybrid in-office schedule with collaboration across teams.

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.
• Advanced knowledge of Hadoop technologies and SQL for data extraction and transformation.

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 processing components for business solutions.
• Engage with stakeholders to design and own end-to-end data solutions.
• Mentor Data Science Consultants and Senior Leads on analytics projects and pilots.

Skills

Mentoring

Cross-functional collaboration

Stakeholder engagement

Education

Bachelor’s degree in Computer Science, Mathematics, Engineering, Data Science, or related

Master’s degree (preferred) in Computer Science, Mathematics, Engineering, Data Science, or related

Tools

Hadoop

Teradata

Python

SQL

Data Warehousing

AWS

GCP

Azure

Kubernetes

Docker

Jenkins

Spark

Job description

Elevance Health is seeking a Data Science Solutions Lead to drive the design and development of analytic models, applications and tools within a big data ecosystem. The role will enable data scientists to create algorithms and deliver insights across the organization.

The candidate will lead cross-functional teams, integrate diverse data sources, and ensure robust testing and deployment of analytics solutions. Hybrid in-office schedule with collaboration across teams.