Please review the job details below.
Maxar's Data Science Services team is looking for a Data Scientist. We use a robust, flexible framework developed by our Applied Machine Learning team to deliver impactful and imaginative solutions to our internal and external partners. We are always on the lookout for the next innovative idea to help our customers discover the art of the possible, as well as how to scale those ideas for future endeavors.
Life with Us
Project:The Data Scientist is expected to respond tactfully to customer requirements, guided by a deep understanding of data science methodologies as well as the ability to see patterns in the data. The Data Scientist will report to a Technical Program Manager and have the support of a DSS Technical Lead who will help guide them to execute requests from a wide variety of customers, promote career progression, and communicate emerging patterns with the ML Engineering team.
Your Career: We're very serious about professional development and continuing education. We offer everyone the opportunity to define their own career trajectory. Our group has some amazing resources at its disposal specifically for this purpose. You will work with your direct supervisor and/or a mentor to set appropriate goals and design a plan to help you make consistent progress.
We offer:

• Dedicated professional development time.
• Conference attendance.
• Corporate partner, industry training.
• Peer groups.
• Paid certifications.
• Education reimbursement.
• Hackathons.
• and much more...

Day-to-day with your colleagues:

• You'll be creating bespoke AI/ML customer solutions using Maxar's Applied Machine Learning Technology Stack.
• You'll be discovering new and innovative features to add to the Applied Machine Learning Technology Stack so that it continues to cater to a wide customer base.
• We work in a very Lean-Agile environment without the overhead associated with traditional Scrum. We've eliminated unnecessary development meetings and we love it!
• You'll collaborate with our geographically dispersed team primarily via Zoom & Slack.

Minimum Requirements:

• Must be a U.S. citizen with the ability to obtain a TS/SCI security clearance with CI Polygraph.
• Bachelor's degree in a related field (e.g., Computer Science, Systems Engineering, etc.), or equivalent experience.
• 5 years of data science-related experience.
• Strong Python skills.
• Modeling, analysis, and/or hypothesis testing using statistical techniques and data visualization.
• Recent experience with some of the following technologies:
  • AWS/C2S/S3;
  • PyTorch;
  • GitHub, GitLab, or Bitbucket.

Preferred Requirements:

• Active TS/SCI security clearance with CI Polygraph (preferred but not required).
• Experience with satellite imagery and/or aerial imagery and general mapping.
• Experience with 3D and elevation data.
• Experience with QGIS or similar technologies.
• Experience with PyTorch Lightning, GraphQL.
• Experience with Kubeflow / MLflow.
• Understanding of Agile methodologies.
• Advanced degree in a related field (e.g., Computer Science, Systems Engineering, etc.), or equivalent experience.
• Strong background in remote sensing or computer vision.
• Knowledge of Design Thinking principles.

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:
$107,000.00 - $179,000.00 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.