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, Geospatial
We are seeking a highly motivated geospatial data scientist with demonstrated experience applying geospatial datasets and models in agriculture to join our Science team within Digital Farming Solutions at Bayer Crop Science. You will work closely with interdisciplinary scientists, leveraging environmental and farm management data to develop geospatial data layers that provide agronomic insights to our farmer customers.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role are to:
Clean, munge, and explore diverse environmental and/or geospatial datasets
Analyze and judge the quality of data, and work with other scientists to resolve issues
Develop environmental and geospatial layers, and test these layers in predictive models
Design, prototype, and implement models to explore spatio-temporal dynamics and variability in agricultural fields using diverse techniques that include, but are not limited to process modeling, statistical modeling, machine learning, data mining, and optimization
Independently articulate project data and model limitations and advantages, defending and communicating conclusions for technical and non-technical audiences
Diagnose and/or predict patterns of crop performance
Follow software development best practices and produce code that anticipates scaling and production, assisting with code review and providing expert consultation
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required:
MS in Spatial Data Science, Data Science, Remote Sensing, GIS or related field, plus 2 years of related experience in agricultural applications
Minimum 2 years of demonstrated experience in applying scalable geospatial data analysis and modeling solutions for agricultural applications
Strong analytical and quantitative problem-solving skills, with demonstrated ability to build, test, and iterate on a variety of model forms for agricultural applications
Fluency in programming languages and tools commonly used for geospatial workflows and machine learning including Python, GeoPandas, Shapely, Xarray, Rasterio, Spark/Sedona, scikit-learn, PyTorch, Tensorflow, etc.
Proven experience with software development best practices such as modularity, version control, documentation, code review, and automated test design
Experienced in working with cloud technologies including GCP, AWS, and Docker.
Demonstrated ability to work in a cross-functional environment, with strong interpersonal and communication skills, and ability to translate complex technical concepts across agricultural, scientific, and business domains
Preferred:
Experience with remote sensing and/or large geospatial data
Spatial applications including spatial statistics, spatially explicit ML, and geospatial engineering
Experience designing, developing, and testing geospatial pipelines applied to machine learning model generation and deployment
Software engineering skills including git version control systems, SQL, workflow orchestration, API development, unit testing, and CI/CD
Remote Sensing tools and platforms including Google Earth Engine, Sentinel-1/2, Landsat, MODIS, and NAIP
Experience using multiple forms of AI such as deep learning, neural networks, or predictive analytics to drive decisions, using new algorithms efficiently and rigorously.
Employees can expect to be paid a salary of approximately $110-160k. Additional compensation may include a bonus or incentive program (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
This posting will be available for application until at least 8/19/25.
YOUR APPLICATIONBayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.