Principal Data Scientist with Security Clearance

Please review the job details below. 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 an experienced 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? Creating and leading multi-discipline AI/ML teams in the creation of machine learning models and their supporting technologies Providing strategic advice to government AI/ML clients fielding advanced spatiotemporal analytics and other AI/ML problem sets Leading the development of statistical learning algorithms compatible with government platforms Applying existing expertise in synthetic data generation, signal and image processing concepts to improve the robustness of AI/ML models
Extending existing expertise in spatiotemporal trajectories, distributional representation, uncertainty modeling, and scalable computing to solve complex geospatial problems
Developing innovative approaches with non-trivial theoretical bounds for prediction and data reconstruction tasks in multi-source data Advising Maxar and the project manager on the strengths and weaknesses of various AI/ML approaches, staffing footprints and delivery strategies Briefing government clients, prime contractor partners and internal Maxar teams on delivery progress, algorithmic results, and project challenges Generating sprint-style projections and risk assessments for AI/ML deliveries Integrating and fielding a range of talents and personnel spanning the full landscape of data scientist skillsets: ETL, mathematics and modeling, data engineering, visualization and storytelling, platform integration, and data analytics Leading and mentoring junior data scientists Minimum Qualifications: Must be US Citizen. Must be able to obtain TS/SCI clearance and CI Polygraph B.S. in Computer Science, Mathematics, Statistics, or related field 7 years of experience as a professional data scientist or machine learning engineer 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 4 years of experience with neural network and deep learning algorithms 4 years of 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) and synthetic aperture radar (SAR) imagery 4 years of experience with deep learning tech such as PyTorch, TensorFlow, etc. Experience with spatial trajectory analytics to include trajectory prediction and reconstruction
Experience with advanced concepts of representation learning and low-shot learning
Must reside in the northern VA area and be willing to work on-site 3 days per week Capability to work effectively in a geographically distributed development team Desired Qualifications: 8+ years of experience as a professional data scientist 8+ years of experience with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.) 5+ years of experience working with EO and SAR data 5+ years of experience briefing government clients in the Defense and Intelligence communities 8+ years of experience solving image science and/or geospatial problems for commercial or government clients 5+ years of experience with neural network and deep learning algorithms 5+ years of experience with deep learning tech such as PyTorch, TensorFlow, etc. Deep experience with developing practical and theoretical solutions for spatial trajectory prediction and reconstruction with demonstrated mission-level impact
Deep experience with advanced techniques for representation learning, latent space embedding, ML model optimization, and synthetic data generation and creation
Experience with Python's geospatial libraries, such as gdal, geopandas, shapely, etc. Experience with Linux command line tools Experience using Docker for packaging and delivering data science capabilities Experience with cloud technologies such as AWS, Azure, etc. Experience with cloud-based AI/ML platforms such as SageMaker, IBM Watson Studio, etc. Experience with deep learning algorithms for image science, such as YOLO, SSD, DetectNet, etc. Our salary ranges are market-driven and set to allow for flexibility. Individual pay will be competitive based on a candidate's unique set of knowledge, skills, and geographic diversity, with earnings potential commensurate with experience. The range for this position is: $155,000.00 - $259,000.00 annually. Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. Maxar 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.