Secret-Cleared Data Scientist for DoD ERP & Databricks

SMX; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement

Job summary

SMX is seeking a Data Scientist to join our team to support a Modernized Data Science Platform for a Federal customer. The focus is on bridging business needs and technical solutions, emphasizing requirements analysis, data-driven decision-making, and IT transformation initiatives.

The role involves designing Databricks-based solutions, building data models, promoting code to production, and ensuring robust testing and documentation across cross-functional teams.

Qualifications

• Security Clearance: U.S. citizenship and an active DoD Secret clearance.
• Bachelor's degree in Computer Science or related field.
• At least 6 years of related work experience.
• Strong analytical, problem-solving, and decision-making skills.
• Minimum 5 years of hands-on development with Python and PySpark.
• Experience with Dev/Ops and CI/CD pipelines using GitLab.
• Army functional knowledge and experience in requirements elicitation, analysis, and documentation.
• Familiarity with database design and architecture; relational and non-relational.

Responsibilities

• Design new solutions using Databricks to deliver capabilities meeting business functional requirements.
• Analyze and design modifications to existing data models as needed.
• Promote code into production.
• Define test cases and verify results to ensure solutions function as designed.
• Build data models and reports using ERP and legacy system datasets.

Skills

Python

PySpark

Databricks

CI/CD pipelines

GitLab

Cloud AWS/Azure

Relational databases

Non-relational databases

Problem solving

Independent worker

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

RESTful APIs

Job description

SMX is seeking a Data Scientist to join our team to support a Modernized Data Science Platform for a Federal customer. The focus is on bridging business needs and technical solutions, emphasizing requirements analysis, data-driven decision-making, and IT transformation initiatives.

The role involves designing Databricks-based solutions, building data models, promoting code to production, and ensuring robust testing and documentation across cross-functional teams.