Data Scientist Agronomy & Remote Sensing

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Data Scientist Agronomy & Remote Sensing 

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. 

Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here 
https://www.bayer.com/enfstrategyfstrategy 

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