Python Data Scientist Associate

Job Description 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 Qualifications 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 Desirable Skills: 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 Target salary range: $40,001 - $80,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. Overview SAIC accepts applications on an ongoing basis and there is no deadline. SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Created: 2026-03-06