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Do you have a head for numbers? Like turning real world problems into mathematical representations and checking to see if you did it right? If you like that, consider this opportunity with Maxar. Our customers have some of the most interesting needs and hardest challenges to resolve. Our solutions require integrated models based on large and varied datasets, feeding analytic applications so that we can extract patterns and behaviors obscured within the data to augment the capabilities of human operators. We need a Senior Data Scientist to work on all stages of the data science pipeline, to include applying existing machine learning software across large hyperparameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set. Why Maxar? • We build advanced AI/ML algorithms to gain analytic insights from a large range of open source and government data • We enable machine learning systems, automate workflow, and design and develop custom applications for unique national-security mission • We offer the opportunity to work with world-class data scientists and engineers on multi-discipline teams • Wherever possible, we bring to bear the newest in AI/ML technologies • Our leaders are engineers and scientists - they know how to help you and your project succeed What would you be doing? • Serving on multi-discipline AI/ML teams in the creation of machine learning models and their supporting technologies • Building automatic target recognition (ATR) algorithms compatible with government platforms such as Palantir, Hydra, etc. • Executing data extraction, transformation and loading (ETL) tasks for various imagery datatypes to include panchromatic (PAN), multispectral (MSI) and synthetic aperture radar (SAR) data types • Evaluating the strengths and weaknesses of various AI/ML approaches and delivery strategies • Participating in team briefings to government clients, prime contractor partners and internal Maxar teams Minimum Qualifications: • Must be US Citizen with a current/active Top Secret with willingness and ability to obtain SCI and CI Polygraph • B.S. in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography or related field • 5+ years of experience as a professional data scientist • 5+ years of experience with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.) • Experience working on data science or image science problems that require subject matter expertise in remote sensing, government collection platforms and image datasets, multispectral imagery (MSI) • Experience with Python's geospatial libraries, such as gdal, geopandas, shapely, etc. • Experience with deep learning algorithms for image science, such as YOLO, SSD, DetectNet, etc. • Experience with deep learning tech such as PyTorch, TensorFlow, etc. • Willing to travel to Herndon, VA for on-site SCIF work 2-3 times a week Desired Qualifications: • M.S. in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography or related field • 10+ years of experience as a professional data scientist • 7+ years of experience with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.) • 4+ years of experience solving image science and/or geospatial problems for commercial or government clients • Experience with version control technologies such as Git, GitLab, etc. • Experience with Linux command line tools • Experience using Docker for packaging and delivering data science capabilities • Knowledge of cloud technologies such as AWS, Azure, etc. • Knowledge of cloud-based AI/ML platforms such as SageMaker, IBM Watson Studio, etc. #cjpostMaxar employees must follow all applicable Maxar policies and COVID-19 requirements as well as those of Maxar customers and third parties. Individual job requirements may vary, and Maxar reserves the right to modify its policies and requirements as it deems appropriate in accordance with applicable law. Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.Vacancy expired!