> Markdown version of [/jobs/ext/2289019-data-scientist-sme](https://www.wearedevelopers.com/jobs/ext/2289019-data-scientist-sme). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist SME - **Company:** North Point Technology, LLC - **Location:** Gaithersburg, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, ArcGIS (Software), Computer Vision, Microsoft Azure, Big Data, Cloud Engineering, Image Analysis, Distributed Systems, Geospatial Intelligence, Apache Hadoop, Python (Programming Language), NumPy, Object Detection, Power BI, Tensorflow, Tableau (Software), Pytorch, Apache Spark, Deep Learning, Pandas, Geospatial Data Abstraction Library (GDAL) - **Published:** August 29, 2026 - **Apply:** https://job-boards.greenhouse.io/northpointtechnology/jobs/8237478002 ## About the Role * U.S. citizenship (per contract). * Bachelor's in Data Science, CS, Geospatial Science, or related field with 12-15 years' relevant experience; or Master's with 10-13 years; Doctorate welcome. * 10+ years professional data science experience, including 5+ years with GEOINT/geospatial analysis. * Proven track record building and deploying ML/AI models for geospatial/remote-sensing use cases. * Deep knowledge of geospatial tools and tradecraft (GIS/ArcGIS), remote sensing, and IC applications. * Expert Python and DS libraries (TensorFlow or PyTorch, Pandas, NumPy); strong big-data experience (Spark/Hadoop; AWS or Azure). * Proficient with geospatial formats and libs (GeoTIFF, Shapefile, WMS/WFS; GeoPandas, Rasterio, GDAL). * Advanced experience operationalizing AI/ML for GEOINT (e.g., object detection on satellite imagery, spatial clustering, predictive analytics). * Strong visualization/reporting (Tableau, Power BI). * Excellent leadership, communication, collaboration, and problem-solving skills., * Advanced DS/ML certifications. * Familiarity with the Customer's mission and GEOINT challenges. * Expertise in deep learning for computer vision/image analysis in geospatial contexts. * Experience with cloud-native/distributed architectures for geospatial workloads. * Familiarity with satellite data analysis and remote-sensing models. * Publications in GEOINT, ML, or data science. ## Description Be an Early Applicant In-Office Aurora, CO, USA Expert/Leader In-Office Aurora, CO, USA Expert/Leader Lead the development of AI/ML models for geospatial data, mentor analysts, and integrate tech solutions to enhance analytical workflows. The summary above was generated by AI, * Serve as technical SME for data science and geospatial analytics on high-impact GEOINT problems. * Design, develop, and validate ML/AI models for large, multi-source geospatial datasets (imagery, sensors, vector/raster). * Apply GEOINT/remote-sensing tradecraft to deliver scalable, mission-aligned analytics and decision support. * Recommend and integrate emerging tech (ML/AI, cloud, distributed compute) to improve workflows and outcomes. * Mentor and upskill data scientists/analysts on best practices and mission-relevant techniques. * Partner with GEOINT analysts, PMs, and engineers to shape requirements and technical approaches. * Conduct applied research in deep learning/reinforcement learning/advanced geospatial algorithms; transition to ops. * Deploy and monitor production models; ensure reliability, scalability, and actionable outputs. * Maintain thorough documentation of models, methods, and processes for reproducibility and knowledge transfer. ## Related Videos - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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