Near Space Labs

GeneralInterestApplication

Brooklyn, New York, United States; Spain Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“General Interest Application at Near Space Labs. design, build and operate a fleet of stratospheric robots. image the earth”

What You'll Achieve.

achieve desired outcomes

Industry & Context.

Problems you'll solve

problem solvers; data-informed improvements

What They're Looking For.

Must Have

Bachelor's degree in Business, Data Science, Management Information Systems or a related analytical field, Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Administration, or a related field, or equivalent professional experience, 3+ years of experience working with technical hardware, Experience in an engineering production or maintenance organization, A proven track record of 2-5 years in a relevant field, Demonstrated experience in managing teams, effectively delegating tasks, optimizing operational workflows, Exceptional ability to manage multiple projects simultaneously, prioritize tasks effectively, ensure adherence to strict deadlines, A solid background in workflow coordination, efficient task assignment, implementation of robust quality assurance processes, Ability to review processing performance metrics, identify trends, suggest data-informed improvements

Nice to Have

BS degree desirable but not essential, Familiarity in using workflow management tools such as Airtable or similar platforms, Familiarity with aerial imagery, mapping principles, Geographic Information Systems (GIS)

What You'll Do.

build and operate a fleet of stratospheric robots

capture petabytes of imagery

drive faster aerospace innovation

How You'll Work.

Team & Collaboration

contributing to a collaborative environment; team collaboration

Process & Methodology

managing teams, delegating tasks, optimizing operational workflows, manage multiple projects simultaneously, prioritize tasks effectively, ensure adherence to strict deadlines, workflow coordination, task assignment

Full Job Description

At Near Space Labs we design, build and operate a fleet of stratospheric robots to image the earth. We launch our proprietary, balloon-based imaging robots to heights between 40,000 and 60,000 feet. From this vantage point, we capture petabytes of imagery for a variety of use cases. Our mission is to provide high quality, updated imagery that we believe should be accessible to everyone who needs it. By approaching earth imaging from a new vantage point and applying cutting edge methodologies, we drive faster aerospace innovation without tradeoffs. We are always on the look out for creative, curious, and diverse problem solvers who thrive in organized chaos. If you’re a hardworking innovative thinker who is passionate about pushing boundaries in the aerospace field and contributing to a collaborative environment, then we want to hear from you. Locations Brooklyn, NY / US (remote) Barcelona, Spain / EU nationals or work permit holders General Skills We Look For: Not all of this is required Bachelor's degree in Business, Data Science, Management Information Systems or a related analytical field. Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Administration, or a related field, or equivalent professional experience. 3+ years of experience working with technical hardware, or a BS degree desirable but not essential. Experience in an engineering production or maintenance organization. A proven track record of 2-5 years in a relevant field, demonstrating expertise and experience. Demonstrated experience in managing teams, effectively delegating tasks, and optimizing operational workflows to achieve desired outcomes. Exceptional ability to manage multiple projects simultaneously, prioritize tasks effectively, and ensure adherence to strict deadlines. A solid background in workflow coordination, efficient task assignment, and the implementation of robust quality assurance processes, preferably within a data-intensive environment. Ability

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