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.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role, Data Scientist, are to:
Perform imaging-based analytics, ML/AI model development, computer vision and photogrammetry modeling and related experimental design;
Contribute to key interdisciplinary data science projects to create novel scientific and business insights by deploying the analytics model framework on a global scale;
Develop, implement and deploy state-of-the-art ML/AI models and technologies in digital pipelines for key vegetable projects with scientists and engineers across Crop Science Research and Development (R&D);
Build cross-functional relationships to collaboratively partner with the business and effectively network within the Bayer Crop Science Research and Development (R&D) organization;
Communicate the imaging-related model development requirements/timelines with other teams and update the key stakeholders in a timely manner;
Follow best practices for model development, code version control, and documentation process;
Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline;
Use advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions.
Relocation relocation as well as visa sponsorship is available.
WHO YOU ARE
Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:
Bachelor’s degree with at least five years of experience or Master’s degree with at least two years of experience or PhD;
Educational preparation or applied experience in at least one of the following areas: Machine Learning, Artificial Intelligence, Imaging Science, Computer Vision, Photogrammetry;
Advanced competencies in image processing, computer vision, color spaces, and photogrammetric modeling;
Solid understanding of machine learning and neural network algorithms and advanced statistics including regression, time-series forecasting, clustering, decision tress, exploratory data analysis methods, simulation, optimization;
Proficiency in applied programming and/or manipulation of data with a programing language such as Python, R, and SQL;
Advanced experience in Amazon Web Services or other cloud platforms;
Advanced competencies in DevOps and MLOps principles and tool stack (e.g., CI/CD, Docker, Airflow, etc.);
Advanced knowledge on deep learning frameworks, such as Pytorch, Tensorflow or MXNET;
Sufficient experience on transfer learning and making ML models work with limited data;
Experience in 3D point clouds and modern methods for 3D point clouds classification, detection, and segmentation;
Excellent understanding with coding best practices, version control and documentation;
Flexibility to adapt to changing environments and ambiguous situations;
Visionary mindset and ability to think and act strategically, combined with execution orientation;
High ability to solve problems and to structure and simplify complex tasks;
Demonstrated ability to contribute to an international and dynamic research and development team.
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.
IMPORTANT NOTE for POTENTIAL US CANDIDATES: Bayer expects its employees to be fully vaccinated against COVID-19. Bayer active employees are also expected to disclose their vaccination status and if fully vaccinated, provide proof of vaccination status to Occupational Medicine. Bayer defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, Bayer employees are also required to comply with state, local and customer requirements.
Location: United States : California : Woodland || United States : Missouri : Chesterfield || United States : Missouri : Creve Coeur || United States : Missouri : St. Louis || United States : Residence Based : Residence Based
Division: Crop Science
Reference Code: 630352