Geospatial Data Scientist

Job Details
Posted Date:
April 29, 2024
Job ID:
Maryland Heights , Missouri
4 years
Job Description
  • Location: Maryland Heights, Missouri
  • Remote: Remote
  • Type: Contract
  • Job #45929

Technology Partners is currently seeking a talented Geospatial Data Scientist. Do you have experience in remote sensing and advanced image processing techniques? Let us help you make your next big career move a reality!

What You Will Be Doing:
Join a team dedicated to solving complex agriculture problems through advanced geospatial analysis. We're seeking a highly skilled Geospatial Data Scientist with expertise in remote sensing and image processing. If you're passionate about using advanced analytics to impact agriculture and enjoy working collaboratively with scientists, IT, and engineering professionals, this role is for you.

Key Responsibilities:

  • Utilize remote sensing principles, satellite imagery analysis, and advanced image processing techniques to develop scalable image processing pipelines.
  • Collaborate with cross-functional teams, including business stakeholders and the Data Science community, to deliver innovative solutions.
  • Communicate complex analysis and results to key stakeholders in a clear and compelling manner.
  • Follow data science best practices, including peer review, code review, and ensuring reproducibility.

Required Skills & Experience:

  • Education: Ph.D. in Remote Sensing, Image Processing, Computer Vision, Data Science, or equivalent; MS with 4+ years of post-MS experience is also considered.
  • Geospatial Data: Experience with geospatial data (e.g., satellite imagery, UAV), open-source tools for spatial data analysis and visualization (e.g., QGIS, GDAL), and handling various geospatial formats (e.g., GeoJSON, SHP, GeoTIFF).
  • Geospatial Analytics and Machine Learning: Strong understanding of machine learning/deep learning frameworks, statistical concepts, geo-statistics, and spatial data analysis. Experience with orthorectification techniques for geospatial image processing.
  • Cloud Computing: Familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure).
  • Programming: Proficient in Python or other high-level programming languages, with experience in geospatial and machine learning libraries (e.g., OpenCV, TensorFlow, PyTorch). Capable of writing clean code following best practices.
  • Soft Skills: High sense of ownership, excellent communication skills, and the ability to explain technical concepts to non-experts.

Pay:  $75..60 – $108 /hr.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.

If this position sounds like you, WE SHOULD TALK!

We realize our people are our most valuable asset, that is why we offer the following benefits:

  • Health, Dental, and Vision insurance
  • 401(k) retirement plan
  • Long and Short-Term disability
  • Life insurance
  • Direct deposit
  • Referral program

Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!

Keywords: Remote Sensing, Image Processing, Geospatial Data, Satellite Imagery, Machine Learning, Deep Learning, Cloud Computing, Data Science, Geo-Statistics, Orthorectification, Python, OpenCV, TensorFlow, PyTorch

Looking for more opportunities with Technology Partners? Check out!

Technology Partners is an Equal Opportunity Employer. Technology Partners does not discriminate on the basis of race, color, religion, sex, national origin, age, disability or any other characteristic protected by applicable state or federal civil rights laws.

All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.

Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.

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