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Data Scientist Agronomy & Remote Sensing
5-8 years
Bangalore / Bengaluru
1 vacancy
Data Scientist Agronomy & Remote Sensing
Adroit Solutions
posted 24d ago
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Flexible timing
Key skills for the job
Job Description
POSITION PURPOSE:
- Lead the development of data-driven agricultural solutions by combining expertise in soil science, crop modelling, remote sensing, and advanced analytics to create innovative digital products that revolutionize farming practices and enhance agricultural productivity.
- Drive experimentation and modeling using geospatial data, weather patterns, and field observations to deliver actionable insights and predictive solutions for farmers and agriculture ecosystem stakeholders
YOUR TASKS AND RESPONSIBILITIES:
- Ideate, experiment and build data driven value offerings for farmers in collaboration with cross functional teams.
- Develop weather and climate change related models using statistical and process-based modelling.
- Design and conduct field experiments - guide team of field officers for data collection from field for input to modelling and model validation exercises.
- Build predictive models to map soil properties and field variabilities using statistical and modeling techniques.
- Collaborate with other data scientists and engineers in developing models to characterize, diagnose and/or predict patterns of crop performance. Deploy the analysis results or models in the customer facing services, monitor its performance and improve the model.
- Clean, munge, and explore diverse complex agricultural, EO Remote Sensing and/OR geospatial datasets, visualize data to get insights from it.
- Analyze and judge the quality of data, and work with the data quality team to resolve issues.
WHO YOU ARE:
- MS with 5+ years of experience in soil research and remote sensing OR Ph.D. in Remote Sensing, Soil Science, Agronomy, Environmental Science, or closely related field.
- Demonstrated experience with remote sensing, agricultural, and geospatial datasets; and ability to apply statistical and/or data science skills to real world problems.
- Strong background in soil hydrology and/or Agronomy with experience using soil properties/weather geospatial datasets (such as SoilGrids, ERA5 etc).
- Experience with GIS software and geospatial analysis.
- Proficiency in Python/R and SQL for data analysis. Stats and programming experience with modeling techniques (Linear Regression, Partial Least Squares, Random Forest, Neural Networks, etc.)
- The ideal candidate will combine strong scientific expertise with practical agricultural knowledge to drive innovation in soil science and agricultural technology.
Employment Type: Full Time, Permanent
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