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Supervisory Data Scientist - Naval Air Systems Command
Data Scientist
Lead advanced analytics initiatives for fleet readiness, applying machine learning, statistical modeling, and data engineering to optimize operational performance and decision-making.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models to forecast fleet readiness and maintenance needs.
- Lead a team of data scientists and analysts, providing mentorship and technical guidance.
- Collaborate with cross‑functional stakeholders to translate business requirements into analytical solutions.
- Ensure data quality, integrity, and governance across large, complex datasets.
- Communicate findings and actionable insights to senior leadership through reports and presentations.
Requirements
- Master’s degree in Data Science, Statistics, Computer Science, or related field.
- 5+ years of experience in data science, with at least 2 years in a supervisory or lead role.
- Proficiency in Python, SQL, and machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
- Strong statistical analysis skills and experience with large-scale data pipelines.
- Excellent communication, project management, and leadership abilities.
Skills
pythonmachine learningsql