Data Scientist

Location US-TX-Austin
Job ID
2025-7470
# Positions
1
Experience (Years)
4
Category
Data/Database Administration
Deadline Date
8/8/2025
Duration (Hours)
1786
Duration (Months)
11
Visa Restrictions
Authorized to work in the US

Overview

Allied Consultants, Inc is a proudly Austin based firm with over 33 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Data Scientist to play a key role within a high-impact technical services team.

 

At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:

  • Highly competitive pay rates
  • Local support staff for responsive, personal service
  • Comprehensive benefits package, including:
    • Medical insurance (with employer cost sharing)
    • Life insurance
    • A 401(K) plan with company match
    • Flexible spending through a cafeteria plan

 

Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.

 

Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

**Location of job: Remote**

The client's Chief Data Office (CDO) 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 best-in-class value-based 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 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.

Qualifications

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

4

Required

Proven experience in data conversion and report building using Snowflake and SAS Viya.

4

Required

Demonstrated experience in data transformation processes using ETL, SQL, Python, and R.

4

Required

Experience working with data analytics and business intelligence tools.

4

Required

Experience working in a Scrum or Agile development environment.

4

Required

Proficiency in ETL processes and tools such as AWS Glue and Lambda.

4

Required

Strong knowledge of database management and data warehousing concepts.

4

Required

Expertise in SQL for data querying and manipulation.

4

Required

Proven experience in data conversion and report building using Snowflake and SAS Viya.

4

Required

Demonstrated experience in data transformation processes using ETL, SQL, Python, and R.

4

Required

Experience working with data analytics and business intelligence tools.

4

Required

Experience working in a Scrum or Agile development environment.

4

Required

Proficiency in ETL processes and tools such as AWS Glue and Lambda.

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