Job Details

ID #17321317
State Virginia
City Herndon
Job type Permanent
Salary USD TBD TBD
Source MAXAR Technologies
Showed 2021-07-26
Date 2021-07-25
Deadline 2021-09-23
Category Architect/engineer/CAD
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Data Scientist (TS/SCI)

Virginia, Herndon, 20170 Herndon USA

Vacancy expired!

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Maxar Technologies is seeking a Senior Data Scientist in our Herndon, VA location.

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.

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 and 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.
  • 5+ years of experience as a professional data scientist.
  • 2+ years of experience with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.).
  • Knowledge of neural network and deep learning algorithms.
  • Knowledge of 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:
  • M.S. in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography or related field.
  • 8+ 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.).
  • 2+ years of experience solving image science and/or geospatial problems for commercial or government clients.
  • 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.
  • Experience working with MSI and SAR data.
  • Experience with neural network and deep learning algorithms.
  • 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.
  • Knowledge of deep learning algorithms for image science, such as YOLO, SSD, DetectNet, etc.

#cjpost

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!

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