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Leidos · 16 hours ago

Data Scientist SME

St. Louis, MO

Full-time

Onsite

Senior Level, Lead/Staff

$131K/yr - $237K/yr

10+ years exp

Leidos is a technology and services company focused on national security and defense. They are seeking a Data Scientist Subject Matter Expert (SME) to lead complex projects involving advanced data science techniques, machine learning, and geospatial analytics to tackle intelligence challenges.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware

No H1B

Security Clearance Required

U.S. Citizen Only

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

Oversee the deployment and operationalization of data science models, ensuring they are scalable, reliable, and deliver actionable insights to GEOINT decision-makers

Maintain high-quality documentation for models, methodologies, and analysis processes to support reproducibility, training, and knowledge transfer

Qualification

Data ScienceGeospatial AnalyticsMachine LearningArtificial IntelligencePythonBig Data ProcessingData VisualizationRemote SensingAnalytical SkillsLeadershipCommunicationCollaborationProblem-Solving

Required

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

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)

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

Excellent problem-solving and analytical skills with a demonstrated ability to translate technical challenges into actionable insights