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 related to 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.
