Data Scientist

---

Job description

Overview:
Allied Consultants, Inc. is an Austin-based firm which has for 32 years been a premier provider of technical and business professionals to clients in Texas. We are currently seeking an experienced Data Scientist to be a key resource on a technical services team.

Allied Consultants offers its family of consultants excellent rates, a local support staff, and an attractive benefits package which includes medical insurance (Allied shares a percentage of the cost), life insurance, a matching 401(k) plan and a cafeteria plan.

Candidates selected for interview will be required to undergo criminal background checks and may be required to complete a drug screen in accordance with Federal and State Law. Offers of Employment are contingent on a successful background check

Allied Consultants is an equal opportunities employer.

Responsibilities:
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.

<!– job description page –>