Job Description

The client is seeking a dynamic and visionary Data Scientist to join our team and support our System Modernization efforts for the Child Support Division. This individual must be able to work in a heavily technical environment preparing and optimizing data for Snowflake and utilizing SAS Viya to build comprehensive federal and state reports. You will play a pivotal role in transforming analyzing and leveraging our data assets to drive strategic initiatives and business outcomes. You must be comfortable analyzing data developing predictive modeling algorithms and can communicate your findings through visualizations enabling the discovery of solutions to business problems. As a Data Scientist your role will be impactful visible and rewarding.

Responsibilities will include:

• Data Conversion and Reporting Support for System Modernization Efforts
• Data Transformation and Integration : Prepare and optimize data for migration to Snowflake and SAS Viya platforms ensuring seamless integration and functionality by creating data transformation processes using ETL SQL Python and R.
• Develop Federal and State Reports : Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya ensuring accuracy and compliance.
• Scrum Team Collaboration : Work as a member of an agile team to deliver new features and functions delivering bestinclass valuebased technology solutions.
• Data Quality Management: Develop and implement databases ETL processes data collection systems and data quality strategies that optimize statistical efficiency accuracy and quality.
• Problem Examination and Resolution : Examine problems within the Data Intelligence space using ETL Lambda and Glue and implement necessary changes to ensure data quality improvement.
• Data Analytics and Insights: Utilize advanced data analytics techniques to support strategic decisionmaking ensuring data integrity quality and timeliness of results.

Required skills :

• Proven experience in data conversion and report building using Snowflake and SAS Viya. Required 4 years
• Demonstrated experience in data transformation processes using ETL SQL Python and R. Required 4 years
• Experience working with data analytics and business intelligence tools. required 4 years
• Experience working in a Scrum or Agile development environment. required 4 years
• Proficiency in ETL processes and tools such as AWS Glue and Lambda. required 4 years
• Strong knowledge of database management and data warehousing concepts. required 4 years
• Expertise in SQL for data querying and manipulation. required 4 years

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