Data Science Director

Elevance Health•Atlanta, GA

20h•Hybrid

About The Position

The Data Science Director is responsible for interacting with business and product owners and IT resources to create and deliver the required data ingestions/interfaces. This role requires associates to be in-office 3-4 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. 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.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field.
Ten (10) years of experience in related occupation(s).
Ten (10) years of experience working in the information technology and/or data science fields.
Five (5) years of experience with all of the following: Performing hands-on coding tasks on ETL and big data BI technology platforms; Developing and automating end-to-end generic and modular framework using Shell scripting, Hive SQL's and Scala-based Spark-SQL jobs; Participating in all phases of the software development life cycle using Agile/Scrum execution and DevOps practices and tools.
Three (3) years of experience with all of the following: Data analysis using Teradata, Big Data and Cloudera Hadoop ecosystem technologies; Creating data interfaces or data extracts for internal analytical or operational systems and external vendors using Teradata, Big Data and Cloudera Hadoop ecosystem technologies; Participating in planning, scheduling, project communication, issue resolution, change management and risk management using tools including JIRA and Confluence; Applying Spark-SQL optimization techniques to solve issues related to processing large data sets.

Responsibilities

Conduct data analysis through the development and implementation of cognitive models.
Create data interfaces or data extracts to internal analytical and operational systems and external vendors.
Participate in all phases of the SDLC life cycle.
Maintain active relationships with business to better understand requirements.
Perform hands-on coding tasks with assigned scrum team on ETL and big data BI technology platforms.
Perform unit testing.
Assist with code migrations from development environment to test to production and associated change and release management processes.
Perform data analysis tasks.
Write queries to extract data from enterprise data warehouse.
Develop and automate end-to-end framework.
Implement logging and restart ability functionalities to enforce better control on the job’s execution.
Apply optimization techniques to solve issues related to processing large data sets to enhance the performance of the data transformation jobs.
Participate in planning, scheduling, project communication, issue resolution, change management, and risk management.
Perform test strategy, test planning, test data management, automate testing and test execution, defect management, end to end testing and UAT support in accordance with policies and standards.
Direct development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
Lead the design, implementation, and continuous delivery of an insight data pipeline supporting the development and operation of custom analytic products and services across the organization.
Mentor others on coding standards and perform code reviews.
Develop and define application scope and objectives, including impact to interfaces.