Leidos National Security Sector is seeking a Data Scientist Subject Matter Expert (SME) for the Chinook program to lead complex, mission-critical projects that leverage advanced data science techniques, machine learning, and artificial intelligence to address key intelligence challenges, specifically in national security, defense, and geospatial intelligence for the National Geospatial-Intelligence Agency (NGA).
Requirements
- 10+ years of professional experience in data science.
- 5+ years of experience with GEOINT or geospatial data analysis.
- Proven expertise in developing and implementing machine learning and AI models, particularly in context of geospatial or remote sensing.
- Deep knowledge of geospatial analytics tools (e.g., GIS, ArcGIS), remote sensing techniques, and the application of data science in the IC.
- Expert proficiency in Python (or similar languages) and experience with data science libraries (TensorFlow, PyTorch, Pandas, NumPy).
- Strong experience with big data processing tools (e.g., Spark, Hadoop, AWS or Azure cloud platforms).
- Expertise in working with geospatial data formats (e.g., GeoTIFF, Shapefiles, WMS, WFS) and spatial libraries (e.g., GeoPandas, Rasterio, GDAL).
Responsibilities
- Serve as the technical SME in data science and geospatial analytics, providing high-level guidance on complex technical problems related to the GEOINT mission.
- Lead the design and development of sophisticated data science models and machine learning algorithms to analyze large, multi-source geospatial data sets (e.g., satellite imagery, sensor data, geospatial databases).
- Apply deep knowledge of GEOINT, remote sensing, and spatial analysis to develop and implement solutions that enhance data-driven decision-making capabilities.
- Provide strategic recommendations for leveraging new and emerging technologies, including machine learning, AI, and cloud platforms, to improve analytical workflows, efficiency, and mission outcomes.
- Mentor and train junior data scientists and analysts, ensuring the application of best practices in data science and the development of mission-relevant expertise.
- Work closely with GEOINT analysts, program managers, engineers, and other stakeholders to identify critical requirements, define technical approaches, and ensure that solutions align with mission objectives.
- Conduct applied research to explore innovative data science techniques and emerging trends (e.g., deep learning, reinforcement learning, advanced geospatial algorithms) that can be applied to solve real-world intelligence problems.
Other
- Top Secret with the ability to obtain SCI, as well as a Polygraph.
- US citizenship is required per contract.
- Bachelor’s degree in Data Science, Computer Science, Geospatial Science or related field and 12-15 years of prior relevant experience or Master’s with 10-13 years of prior relevant experience. May possess a Doctorate in technical domain.
- Strong leadership, communication, and collaboration skills, with the ability to work directly with senior government officials, analysts, and technical teams.
- Excellent problem-solving and analytical skills with a demonstrated ability to translate technical challenges into actionable insights.
