US - IT Data Scientist; Mid

We are seeking a highly skilled and experienced individual to join our dynamic team as a Data Scientist. This role requires a strong background in machine learning, deep learning, and image processing, particularly with imagery such as remote sensing and plant phenotyping imaging. The successful candidate will utilize advanced techniques to develop predictive models that drive data-informed decision-making in Bayer's agricultural operations.

Collaboration with scientists from various disciplines, as well as IT and engineering professionals, will be essential to deliver innovative analytics that align with our mission of "Health for all and Hunger for none."

• Leverage expertise in image analysis, statistical analysis, machine learning, and deep learning models to analyze complex imagery data and develop actionable insights for agricultural operations.
• Write comprehensive model documentation detailing problem formulation, modeling approach, validation, data requirements, and implementation steps.
• Adhere to data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.
• Build cross-functional relationships to partner with business stakeholders and collaborate with Bayer’s Data Science community to co-develop innovative solutions.
• Communicate results to key stakeholders in a clear and compelling manner.

• Strong understanding of machine learning and deep learning frameworks, statistical concepts, and data analysis techniques.
• Proficiency in Python or other high-level programming languages with hands-on experience using machine learning and deep learning libraries (e.g., OpenCV, Tensor Flow, PyTorch).
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) for data processing and model deployment.
• Excellent communication skills with the ability to explain technical concepts to non-experts.
• High sense of ownership and motivation to deliver valuable analysis.

• Ph.D. in Data Science, Computer Vision, Machine Learning, Imagery or Robotics; or MS with 4+ years of post-MS experience in a related field.
• Experience working with imagery and deriving insights from it (such as remote sensing data and phenotyping imaging). Familiarity with analytical techniques specific to image analysis is essential; experience in plant phenotyping image analysis is a significant advantage.

This is an exciting opportunity to make a meaningful impact on agricultural operations through innovative analytics n us in our mission to create a sustainable future while advancing your career in a collaborative environment where your expertise will be valued and utilized effectively.