Data Scientist - AI/ML - Science Systems and Applications, Inc.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models for predictive analytics, environmental monitoring, and geospatial intelligence.
• Collaborate with Earth science teams to translate scientific questions into data‑driven solutions.
• Research and evaluate emerging technologies, including quantum computing methodologies, to advance geospatial data processing.
• Integrate models into scientific software pipelines and maintain reproducible workflows.
• Communicate findings through technical reports and presentations to stakeholders.

Requirements

• Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit‑learn).
• Proven expertise in geospatial analytics and spatial data processing.
• Knowledge of quantum computing concepts and their application to data science.
• Excellent problem‑solving abilities and a passion for Earth science research.
• Effective communication skills for cross‑disciplinary collaboration.