We're hiring on behalf of a Haystack partner!
The Role
• Serve as a technical subject matter expert in data science and geospatial analytics, providing high-level guidance on complex technical problems.
• Lead the design and development of sophisticated data science models and machine learning algorithms for large, multi-source geospatial datasets.
• Apply deep knowledge of geospatial intelligence and spatial analysis to develop and implement solutions that enhance data-driven decision-making.
• Provide strategic recommendations for leveraging new and emerging technologies, including AI and cloud platforms, to improve analytical workflows.
• Mentor and train junior data scientists and analysts, ensuring the application of best practices.
• Collaborate with analysts, program managers, engineers, and stakeholders to identify requirements and define technical approaches.
What You'll Need
• 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.
• 10+ years of professional experience in data science.
• 5+ years of experience with geospatial data analysis.
• Proven expertise in developing and implementing machine learning and AI models, particularly in the context of geospatial or remote sensing.
• Deep knowledge of geospatial analytics tools, remote sensing techniques, and the application of data science in intelligence communities.
• Expert proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Strong experience with big data processing tools and cloud platforms (e.g., Spark, AWS, Azure).
• Expertise in working with geospatial data formats and spatial libraries.
• Strong leadership, communication, and collaboration skills.
What's On Offer
• Competitive annual salary ($131,300 - $237,350) plus potential for bonuses.
• Opportunity to work on cutting-edge technology at the intersection of data science, AI, and national security.
• Influence how mission users understand data and make critical decisions.
• Be part of a high-performing Agile engineering team delivering next-generation capabilities.
Apply via Haystack today!