Remote Sensing Engineering Analyst

  • location: Saint Louis, MO
  • type: Temporary
  • salary: $25 - $30 per hour
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job description

Remote Sensing Engineering Analyst

Our client is one of the largest companies in the world dedicated to the development, growth and marketing of Agriculture seeds. They strive to develop hybrids that improve nutrition, boost crop yields, limit spoilage, optimize water & climate variables and reduce the need for chemicals and other inputs. They are committed to consistently introducing innovative products to their customers. It's amazing to consider that improving human health, promoting environmental stewardship and fostering greater economic growth for the agricultural community can all start with something as small as a seed.

PLEASE FORWARD YOUR RESUME/CV TO Cynthia.ottens@randstadusa.com.

We are looking for a Remote Sensing Analyst (Contract) who will bring a strong ability to analyze satellite, aerial and other remote sensing imagery and derive specific, actionable insights from a variety of remote sensing products. We work with satellite and aircraft images to generate crop health and crop status insights for research and commercial applications.

Responsibilities:
-- Analyze image data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS) applications.
-- Process imagery and metadata to produce geo-referenced and calibrated layers
-- Validate data quality, radiometric calibration and statistical models application
-- Collaborate with other team members on research endeavors and writing code.
-- Write beautiful, robust, well-documented research code.
-- Communicate research results within the quantitative teams and to engineering and product teams.
-- Support researchers with accessing data and analysis results

Working hours: 8:00 AM - 5:00 PM

Skills:
--Modern computer programming language (Python or R preferred)
--Cloud computing environments such as AWS, S3, EC2
--GIS software and libraries such as QGIS, ArcGIS, ENVI, GeoServer and GDAL
--Working with remote sensing imagery from satellite and aerial for vegetation analysis
--Optional desirable experience:
--Familiarity with satellite and aerial imaging workflows, data cleanup and processing
--Implementing algorithms on big data in distributed environments such as GeoPySpark
--Working with elevation data, LIDAR, Hyperspectral, or thermal sensors
--Determination to identify and implement opportunities to establish and improve standard workflows

Qualifications:
--B.S. in a quantitative discipline such as Computer Science, Remote Sensing, Statistics, Environmental Science, EE, Physics or a closely related field.
--1+ years of relevant work experience

Our team is composed of some of the most brilliant interdisciplinary minds in the industry. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible product and experience for our customers.

Competitive salary and some of the best perks in the industry, including:
--We provide meals and a large assortment of snacks, drinks, fruits, coffees, and teas to help you get through the day
--Energetic idea-driven work environment with an exciting culture
--Exciting world-changing opportunity - we are solving problems that have a massive impact on the world
--A driven, talented team that aims to make a large-scale impact through an innovative technology platform

Randstad is a world leader in matching great people with great companies. Our experienced agents will listen carefully to your employment needs and then work diligently to match your skills and qualifications to the right job and company. Whether you're looking for temporary, temporary-to-permanent or permanent opportunities, no one works harder for you than Randstad. EEO Employer: Race, Religion, Color, National Origin, Citizenship, Sex, Sexual Orientation, Gender Identity, Age, Disability, Ancestry, Veteran Status, Genetic Information, Service in the Uniformed Services or any other classification protected by law.

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