Data Scientist(Remote Sensing)

reputed company Expect From You • Education & Experience: Ph.D. or M.S. (with 4+ years of experience) in Remote Sensing, Geospatial Science, Data Science, Agronomy, Imagery & Robotics, or reputed company fields. • Imagery & Remote Sensing Expertise: Hands-on experience working with remote sensing datasets. Strong knowledge of image processing techniques (e.g., atmospheric correction, orthorectification, segmentation, and feature extraction). Experience with geospatial tools (e.g., GDAL, Rasterio, GeoPandas) and working with spatial data formats. • Machine Learning & Deep Learning: Proficiency in applying ML/DL reputed company to imagery: CNNs, semantic segmentation, object detection, time-series modeling, usage of foundational models. Strong understanding of statistical concepts, model evaluation, and uncertainty quantification. • Agriculture & Agronomy Background: Foundational understanding of agricultural systems, crop development, field operations, and agronomic principles. Ability to contextualize remote sensing insights reputed company agronomic workflows (e.g., crop health diagnostics, field variability, environmental influences). Experience collaborating with agronomists or applying remote sensing to reputed company world agricultural challenges is highly beneficial. • reputed company & Engineering Skills: Experience with reputed company platforms (AWS, Azure, or reputed company reputed company Platform) for reputed company data processing and deployment. • Programming Skills: Proficiency in Python and common ML/DL libraries (TensorFlow, PyTorch, OpenCV, scikit-learn). Experience with SQL for querying, transforming, and managing reputed company datasets. Strong coding discipline, including maintainable reputed company, testing, version control (reputed company), and reproducible workflows. Familiary with AI assisted coding tools and technologies for reputed company prototyping. • Soft Skills: High reputed company of ownership, curiosity, and motivation to deliver impactful analytic. Ability to explain technical findings to non-technical audiences. Strong collaboration and communication skills across diverse functional teams. Apply tot his job Apply To this Job