Ability to hold a position of public trust with the U.S. government.
Bachelors Degree and 5 years of experience
4 years of experience designing, building, and deploying machine learning or advanced analytics solutions.
Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on experience in deep learning or advanced ML frameworks (e.g., PyTorch, TensorFlow, XGBoost).
Proven ability to lead data science workstreams and mentor junior practitioners.
Experience using SQL and working with structured, semi-structured, or unstructured datasets at scale.
Familiarity with cloud platforms (AWS, Azure, GCP) and modern ML development environments (Databricks, SageMaker, Azure ML Studio).
Strong grounding in statistics, probability, experimental design, and model validation methodologies.
Effective communication skills with the ability to explain highly technical concepts to non-technical audiences.
Experience collaborating with product teams, engineers, and mission stakeholders to define and deliver data-driven solutions.
Understanding of responsible AI principles, including fairness, explainability, bias mitigation, and reproducibility.
Preferred certifications: AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks Machine Learning Professional.