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 Geospatial 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

• Perform end-to-end data analytical tasks that include but not limited to ETL, mathematics and modeling, data engineering, visualization and storytelling, and platform integration

• Advise Maxar and the project manager on the strengths and weaknesses of various technical approaches related to image science and AI/ML

• Generate sprint-style projections and risk assessments for AI/ML deliveries

• Apply signal and image processing concepts and methods to improve synthetic training data utility and ATR performance

• Apply and extend advanced machine learning methods for modeling patterns in geospatial trajectories (e.g., GPS tracks), text, images, and videos.

Minimum Qualifications:

• Must be US Citizen

• Must have a current/active TS/SCI and be willing and able to obtain a CI Polygraph

• B.S. in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography or related field

• Ability to perform research and development of novel and advanced geospatial machine learning approaches. Examples include spatial trajectory clustering and classification, image object detection, and graph analytics.

• Ability to develop and exercise computer algorithms to quantify performance of imaging systems as a function of key parameters and organize results in clear presentations.

• 3 years of experience as a professional data scientist or related role

• 3 years of experience with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.)

• 3 years of experience solving image science and/or geospatial problems for commercial or government clients

• Regular travel to Herndon, VA or on-site SCIF at least 3 times a week or as required by manager

• 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:

• 4+ years of experience as a professional data scientist or related role

• 4+ years of experience with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.)

• 3+ years of experience briefing government clients in the Defense and Intelligence communities

• 4+ years of experience solving image science and/or geospatial problems for commercial or government clients

• Experience with Linux command line tools

• Experience using Docker for packaging and delivering data science capabilities

• Experience with cloud technologies such as AWS.

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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:

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.