Senior Data Scientist (Geospatial Company)

Senior Data Scientist (Geospatial company) Contract to hire role Responsibilities Execute against initiatives on our R&D roadmap, including investigations of new approaches, architectures, and paradigms for advancing the state of the art in Data Science, Computer Vision, and Machine Learning techniques for geospatial data.Develop Machine Learning models and techniques to improve our core capabilities.Work closely with product owners and incorporate customers' feedback into our products.Communicate and publish research findings in a variety of media, including internal presentations, blog posts, patents, and technical papers.Report on research and other deliverables to key stakeholders across the Engineering and Product Management teams.Work in a cross-functional team to incorporate new techniques and models into our platform.Implement methodologies and metrics for measuring and monitoring performance to continuously improve our capabilities.Write proposals for new business problems that align with our company's goals.Qualifications Must have designed, trained, and deployed Machine Learning models in production.Masters degree in a STEM field (e.g., statistics, machine learning, computer science, physics, engineering); PhD preferred.5+ years of demonstrable experience working with large and noisy datasets, and particular experience with datasets that have sparsity in some dimension (e.g., spatially, temporally) would be a big plus.Ability to communicate complex concepts and results in a readily-understood manner to a wide audience.Proven ability to lead data scientists and engineers, and enable them to be successful in their role. Technical leadership experience is preferred.Excellent coding skills (python with a solid familiarity with NumPy, SciPy, pandas strongly preferred).Expertise in machine learning, statistical modeling, and experiment design. A strong publication record in these areas is a huge plus.Experience with git, AWS (S3, EC2, etc.), Docker.Expertise in working with geospatial data and/or satellite imagery would be an asset.Experience working with Computer Vision and Deep Learning modeling is a plus.Experience working with Synthetic Aperture Radar (SAR) is a plus.
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