Hiring: Data Scientist SME Company: Leidos Location: Englewood, CO Job Posted Time: 2026-09-17 01:28:59 Employment Type: Contract / Remote Target Skills & Keywords : AI, AWS, Agile, Aurora, Azure, Computer Vision, Deep Learning, Hadoop, Kafka, Machine Learning, NumPy, Pandas, PySpark, PyTorch, Python, Reinforcement Learning, SciPy, Spark, TensorFlow, scikit-learn About the job Experience: •10+ years of professional experience in data science. •5+ years of experience with GEOINT or geospatial data analysis. Required Skills: •If you are energized by applying advanced analytics to real-world mission challenges and want to see your work have a tangible impact, this is an opportunity to make a difference. •Position may be performed in the following locations below. Please note Gaithersburg, MD is the primary work location for the program. •Active Top Secret/SCI clearance with the ability to successfully pass a Polygraph examination. •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). •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. Qualifications: •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. •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 (Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, or equivalent tecchnologies). •Strong experience with big data processing tools (e.g., Spark, PySpark, Kafka, 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). •Advance experience in developing and operationalizing AI/ML models and algorithms for geospatial data (e.g., object detection from satellite imagery, spatial clustering, predictive analytics). •Strong background in data visualization and reporting tools (e.g., Tableau, PowerBI). •Strong leadership, communication, and collaboration skills, with the ability to work directly with senior government officials, analysts, and technical teams. Compensation: •$131,300 - $237,350 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!