What are the responsibilities and job description for the Python Data Scientist Associate position at SAIC?
Job ID T2601999
Location Princeton, NJ, US
Date Posted 2026-03-05
Category Information Technology
Subcategory Data Scientist
Schedule Full-Time
Shift Day Job
Travel No
Minimum Clearance Required None
Clearance Level Must Be Able to Obtain Public Trust
Potential for Remote Work ORA_ON_SITE
Description
SAIC is seeking an experienced Python Data Scientist Associate to support the development and maintenance of the Model Diagnostics Task Force (MDTF) framework, a unified system for selecting and instantiating standardized tasks for performing analysis on Earth system data. Our customer, NOAA GFDL, is the main developer of the MDTF framework with contributions from a consortium of government, academic, and private entities. This position requires an ability to obtain a Public Trust. Desired physical location is in the Princeton, New Jersey or surrounding area.
Responsibilities include, but are not limited to
Location Princeton, NJ, US
Date Posted 2026-03-05
Category Information Technology
Subcategory Data Scientist
Schedule Full-Time
Shift Day Job
Travel No
Minimum Clearance Required None
Clearance Level Must Be Able to Obtain Public Trust
Potential for Remote Work ORA_ON_SITE
Description
SAIC is seeking an experienced Python Data Scientist Associate to support the development and maintenance of the Model Diagnostics Task Force (MDTF) framework, a unified system for selecting and instantiating standardized tasks for performing analysis on Earth system data. Our customer, NOAA GFDL, is the main developer of the MDTF framework with contributions from a consortium of government, academic, and private entities. This position requires an ability to obtain a Public Trust. Desired physical location is in the Princeton, New Jersey or surrounding area.
Responsibilities include, but are not limited to
- Develop the framework using the established goals of the MDTF Leads Team as a guide
- create MDTF software upgrade and release plans
- ensure new code is well-documented and available to end users
- add new functionality and capabilities, coordinated by the MDTF Leads Team
- fix bugs and evaluate performance bottlenecks
- maintain CI/CD workflows for automated and manuatl testing/deployment
- develop unit tests for the framework
- maintain datasets as needed for the CI/CD and unit tests
- troubleshoot and consult on Data Catalog generation
- package and deploy new releases to the established PyPi distribution channel
- Facilitate integration of a Jupyter Notebook-style interface for process-oriented diagnostics into the MDTF framework
- Coordinate with GFDL’s Modeling Systems Division and Data Sciences Group developers as they integrate the MDTF framework into their respective workflows
- Actively contribute to weekly multi-institutional development meetings
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Business or other related scientific or technical discipline
- Experience in Systems Engineering or Programming
- Experience in Python Programming
- Strong Python skills (xarray, Jupyter notebook proficiency is a must)
- Experience using and managing projects with git
- Experience with version control and documentation, with an understanding of CI/CD fundamentals
- Knowledge of CI/CD pipelines for automated workflows
- Some basic knowledge of weather, ocean, or climate processes or a related science is preferred, but not necessary
- Familiarity with cloud S3 storage
- Familiarity with NetCDF dataset structures
- Knowledge of AI and Machine Learning user agents (e.g. Gemini, Anthropic, OpenAI)
- Knowledge of GitHub Actions CI/CD pipelines for automated workflows
Salary : $40,001 - $80,000