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Data Scientist

1 month ago

Austin, Texas, United States Indotronix International Corporation Full time

The Indotronix International Corporation is seeking a highly skilled Data Scientist to support the 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 communicating your findings through visualizations to enable the discovery of solutions to business problems.

As a Data Scientist, your role will be impactful, visible, and rewarding.

Responsibilities:

  • 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.
  • Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance.
  • Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions.
  • Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality.
  • Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement.
  • Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results.

    The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project.

    Experience:

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