Please review the job details below.

Maxar is seeking a Geospatial Data Scientist to become a member of our Geospatial Production team. As a valued team member, you will assist our customers in executing their global mission with expert understanding and applicability of their geospatial data.

Life with Us

Project:  In this role, you will join a team of geospatial professionals focused on producing and delivering quality data that exceed our customers' goals.

Career: We are very serious about professional development and continuing education at Maxar. We offer our team members the opportunity to define their career trajectory. Our group has fantastic resources to support learning and development. 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.

What We Offer: Time for dedicated professional development, conference attendance, corporate partner and industry training, peer group collaboration, hackathons, paid certifications, education reimbursement, and student loan forgiveness.

What you'll do day-to-day (with your colleagues): 

• Undertake statistical analyses to enhance data processing, manipulate large scale data sets, and provide analytic insights.
• Engage in a collaborative environment with your peers to share expertise and develop innovative concepts.
• Research methods in remote sensing and machine learning to improve efficiency and increase value to our customers
• Work closely with the customer and team lead on quick-turn RFIs to decision makers.
• Learn new methodologies and skillsets on the job that can contribute to the mission.
• Engage with the wider Maxar community to learn about Maxar products and projects that may be applicable to the mission area.

Minimum requirements for this position: 

• Must be a U.S. citizen or permanent resident
• Master's degree in Geographic Information Science (GIS), Remote Sensing (RS), or related discipline (6 additional years of experience may be substituted for a degree)
• Knowledge of ERDAS Imagine 2018+ and/or Esri ArcGIS scripting
• Minimum 4 years’ experience producing NGA standard and non-standard products and datasets, specifically including prior experience working on Maxar land and ground cover projects 
• Experience building machine learning, statistical, or time series models informed by remotely sensed data
• Handle complexity, ambiguity, and shifting priorities with ease. Display a willingness to play the role needed for project success
• Excellent written, verbal, organizational, time management, and interpersonal communication and leadership skills
• Ability to work independently and collaborate with team members in an online setting.
• Fluency with Microsoft Office Suite  

Preferred Qualifications:

• Ph.D. in Remote Sensing (RS), Geographic Information Science (GIS), Computer Science, related technical field or related discipline
• Subject matter expert in remote sensing or areas of study
• Proven track record of building and managing strong collaborative relationships
• Detail-oriented and able to multi-task while working in a fast-paced environment
• Consistent track record of delivering key metrics, high level of energy, commitment, optimism, and passion for the business
• Ability to prioritize tasks based on customer, project, and team needs

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:

$96,000.00 – $160,000.00 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.