- We are seeking a highly skilled and experienced Geospatial Data Scientist with a strong background in remote sensing and image processing to join our team.
- The ideal candidate will have a deep understanding of remote sensing principles, satellite imagery analysis, and advanced image processing techniques.
- You will use advanced analytics and collaborate with scientists from different backgrounds, IT and engineering professionals to deliver analytics solution to solve complex agriculture problems.
- You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyse complex imagery data to develop an scalable image processing pipeline.
- You will write model documentation to detail problem formulation, modeling approach, validation, data requirements and implementation steps.
- You will follow data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.
- You will build cross-functional relationships to partner with the business stakeholders and collaborate with client's Data Science community to co-develop innovative solutions.
- You will communicate results to key stakeholders in a clear and compelling manner.
- You have Ph.D. (or MS with 4+ years of post-MS experience) in one of the following areas:
- Remote Sensing, Image Processing, Computer Vision, Data Science.
- Geospatial data: You have experience working with geo-spatial data (eg. satellite imagery, UAV etc).
- You have experience using open-source tools for spatial data analysis and visualization (eg. QGIS, GDAL).
- You are proficient in handling and processing different geospatial formats (eg. GeoJSON, SHP, GeoTIFF).
- You have demonstrated understanding of machine learning/deep learning frameworks, statistical concepts, and geo-statistics and spatial data analysis.
- You have experience in geospatial image processing with a focus on orthorectification techniques of imageries.
- You have familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure).
- You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc).
- You are also capable of writing clean code following coding best practices.
- You have a high sense of ownership and are motivated to deliver valuable analysis.
- You have excellent communication skills and can clearly explain technical concepts to non-experts.
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Geospatial Data Scientist - St Louis, United States - Tekwissen
Description
Job Title: Geospatial Data Scientist
Location: St Louis, MO, 63146
Duration: 7 Months
Job Type: Contract
Work Type: Remote
Pay Rate: $80-$80/hr
Overview:
Tekwissen Group, is a workforce management provider throughout the USA and many other countries in the world. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world, headquartered in Leverkusen, and areas of business include pharmaceuticals; consumer healthcare products, agricultural chemicals, seeds and biotechnology products.
Job Description:
Position Overview
Key Responsibilities
Data Science:
Collaborate and Communicate
We would expect from you:
Experience:
Geospatial Analytics and Machine Leaning:
Cloud Computing:
Programming:
Soft skills:
TekWissen Group is an equal opportunity employer supporting workforce diversity.