Data Scientist

1 month ago


Austin, Texas, United States Hill Country Project Management LLC Full time
Job Title: Data Scientist

Company: Hill Country Project Management LLC

Job Summary

We are seeking a highly skilled Data Scientist to join our team. The successful candidate will be responsible for preparing and optimizing data for Snowflake and SAS Viya platforms, developing comprehensive reports, and collaborating with a Scrum team to deliver new features and functions.

Key Responsibilities
  • Data Conversion and Reporting Support: Provide 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.
  • Develop Federal and State Reports: Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya.
  • Scrum Team Collaboration: Work as a member of an agile team to deliver new features and functions.
  • 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 decision-making, ensuring data integrity, quality, and timeliness of results.
Requirements
  • 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.
  • Proficiency 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.

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