Data Scientist - Herndon, United States - Maxar Technologies
Description
Job Description Summary
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 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?
Contribute to 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 automatic target recognition (ATR) algorithms
Building algorithms compatible with government platforms such as Palantir, Hydra, etc.
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
Mentoring junior data scientists
Minimum Qualifications:
Must be US Citizen.
Must have a current/active TS/SCI and be willing and able to obtain a CI Polygraph
M.S. in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography or related field
10+ 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.)
5+ 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 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
3+ years of experience with deep learning tech such as PyTorch, TensorFlow, etc.
Experience with version control technologies such as Git, GitLab, etc.
Willing to travel to Herndon, VA for on-site SCIF work
Capability to work effectively in a geographically distributed development team
Occasional local travel (DC Capital Region) to government sites for customer meetings and demonstrations
Desired Qualifications:
Ph.
D. in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, or related field
10+ years of experience as a professional data scientist
10+ 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
10+ years of experience briefing government clients in the Defense and Intelligence communities
5+ 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
3+ years of experience with deep learning tech such as PyTorch, TensorFlow, etc.
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:
$131, $219,000.00 annually.
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.
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