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.
Remote Sensing Data Scientist
As a Remote Sensing Data Scientist, you will deliver remote sensing insights to all pipelines and regions within Plant Breeding. You'll work collaboratively with interdisciplinary scientists, IT and engineering professionals across the organization to solve critical problems and answer important questions that drive key decisions for our business. You will foster new game changing ideas to produce innovative insights from imagery and sensor data with a focus on large scale geo-temporal analyses, computer vision and remote sensing, feature extraction from imagery and time series data, crafting complex model architectures using embeddings and ML/DL techniques. You'll be an individual contributor on a team with other Data Scientists.
This is a Chesterfield, MO-based position.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role are to:
Lead the efforts to create breakthroughs in precision plant breeding by exploring and developing the next generation of satellite enabled AI methodologies and models
Leverage recent advances in high resolution remote sensing and IoT sensors to develop models that predict novel pheno@types
Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline
Acquire, process, transform, and extract information from high resolution remote sensing imagery
Create innovative insights from imagery and sensor data with a focus on large scale geo-temporal analyses, computer vision and remote sensing, feature extraction from imagery and time series data, crafting complex model architectures using embeddings and ML/DL techniques
Independently perform computer programming, predictive modeling, statistical analysis, and experimental design using advanced mathematical models, machine learning algorithms, and strong business acumen to deliver insights, recommendations, and solutions
Build cross-functional relationships to partner with the business collaboratively and effectively network within the Data Science Community
Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators
Collaborate regularly, acquiring support and partnership from cross-functional scientific, engineering, and IT teams across the company
Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required:
Master's degree in relevant technical field with at least two years of experience OR PhD with strong educational preparation and some applied experience
Educational preparation or applied experience in at least one of the following areas: Geographical Information Systems, Machine Learning, Electrical/Industrial Engineering, Operation Research, Biostatistics, Computational Biology, Applied Mathematics, Generative AI, Computer Science and/or other related quantitative discipline
Intermediate proficiency in computational skills and level of experience building data models using Python, R or other programming packages, including CV/ML libraries and deep learning frameworks such as PyTorch
Basic understanding of software development best practices (Version Control, Code Documentation & Review)
Proficiency using Python
Strong proficiency with geospatial and imagery data such as geophysical soil sensing, remote sensing, hyperspectral, multispectral imagery, open source geospatial technologies and large-scale cloud computing
Strong proficiency in predictive modeling to include comprehension of theory, modeling/identification strategies and limitations and pitfalls
Experience in the successful delivery of valuable analysis through the application of domain knowledge; evidence of ability to strong business acumen
Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to the extended team and small groups of key stakeholders
Experience with technologies such as: Diffusion, Latent Diffusion Models, Text-to-image synthesis, Image inpainting, Super-resolution, and Flow Matching,
Preferred:
Ph.D. with a degree related to Machine Learning, Computer Science, Electrical/Industrial Engineering, Operation Research, Biostatistics, Computational Biology, Applied Mathematics, Geographic Information Systems or other related quantitative disciplines
Strong proficiency with imagery, geospatial, or other high dimensional data such as hyperspectral imagery, multispectral imagery, remote sensing, geophysical soil sensing, open-source geospatial technologies, and large-scale cloud computing
Employees can expect to be paid a salary of approximately $110k-155k. 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 8/29/25.
YOUR APPLICATION
Bayer 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.
Bayer is an E-Verify Employer.
Location: United States : Missouri : Chesterfield
Division: Crop Science
Reference Code: 850971
Contact Us
Email: hrop_usa@bayer.com
