Geospatial Data Scientist
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Job Description
Job Title: Geospatial Data Scientist
Location requirements/Schedule: Remote
Location/s: Desire onsite St. Louis MO Open to Work Remote Full time
Start Date: ASAP
Bonus/Benefits: NO
Type of contract: C2C W2 Contract to Hire W2
Duration: 12/31/24 may extend
Visa: USC GC
How many interviews: 2
Interview Process: Video
Certifications must have or nice to have: Nice to have.
Required
What You Will Be Doing:
Join a team dedicated to solving complex agriculture problems through advanced geospatial analysis. Were seeking a highly skilled Geospatial Data Scientist with expertise in remote sensing and image processing. If youre 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 crossfunctional 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 postMS experience is also considered.
- Geospatial Data: Experience with geospatial data (e.g. satellite imagery UAV) opensource 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 geostatistics 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 highlevel 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 nonexperts.
Keywords: Remote Sensing Image Processing Geospatial Data Satellite Imagery Machine Learning Deep Learning Cloud Computing Data Science GeoStatistics Orthorectification Python OpenCV TensorFlow PyTorch
Employment Type
Full Time
