Geospatial Data Scientist

Full Time

  • Work from home
  • No Travel Required

Job Description

Please review the job details below.

Maxar is looking to add a Geospatial Data Scientist with strong geospatial skills for an intelligence community project linked to current world events.

Life with Us

Project: Expanding on an existing prototype, the selected candidate will help create a workflow that highlights the activity of target demographics over a broad area. Data Scientists who enjoy creative problem solving with uninterrupted access to large and diverse datasets will excel in this workspace.

The project is focused on critical and fast-moving current events and also represents an opportunity for a candidate to utilize powerful open-source data manipulation tools like Geopandas, Datashader, and Dask. Tool like these tools will accelerate their work on the project while providing opportunity for career development and progression. Moreover, the results of this project will be published for use across the intelligence community.

The selected candidate will join a team of two other Data Scientists at the customer site led by an informed, technical, and hands-on customer. This customer has led similar efforts in the past and is known for providing clear direction and technical resources.

Your Career: We are 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.
  • Student loan forgiveness.
  • Hackathons!
  • and much more...


Day-to-Day with your Colleagues:
  • Using Python libraries like Pandas, SciPy, Geopandas, Dask, Spatialpandas, Seaborn/Bokeh and more to create spatial analytics that provide:
  • Demographic analysis.
  • Geospatial and data visualizations.
  • Clustering.
  • Spatial statistics.
  • Work closely with the customer and team lead on quick-turn RFIs to decision makers.
  • Interact closely with intel analysts to better understand the mission at large and how our work accelerates/compounds their analysis.
  • Learn new methodologies on the job that can contribute to the mission.


Minimum Requirements:
  • Current/active TS/SCI security clearance and be willing and able to obtain CI Polygraph.
  • Bachelor's degree in a related field (e.g., Geography, Mathematics, Finance, Physical and Life Sciences, Computer Science).
  • 5 years of relevant experience.
  • 5 years of experience with Python.
  • 5 years of GIS experience.
  • 3 years of experience with quantitative analysis.


If you also had these skills that'd be amazing:
  • Functional knowledge of SQL.
  • Machine learning experience with classification, regression, or computer vision.
  • Familiarity with any of the following Python libraries: Geopandas, Dask, Spatialpandas, or Datashader.


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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:
$104,000.00 - $173,000.00 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.