Data Scientist SME

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.

• 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.

North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country’s most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer’s most difficult problems.

At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members.