Data Science Solutions Lead

Elevance Health • Grand Prairie, TX

1d • Hybrid

About The Position

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. The Data Science Solutions Lead is responsible for leading the design and development of analytic models, applications and supporting tools, which enable Data Scientists to create algorithms/models in a big data ecosystem.

Requirements

• 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.

Nice To Haves

• 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.

Benefits

• merit increases
• paid holidays
• Paid Time Off
• incentive bonus programs
• medical
• dental
• vision
• short and long term disability benefits
• 401(k) +match
• stock purchase plan
• life insurance
• wellness programs
• financial education resources

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level