At Bayer were visionaries, driven to solve the worlds toughest challenges and striving for a world where ,Health for all, Hunger for none is no longer a dream, but a real possibility. Were 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 youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, theres only one choice.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role, Data Scientist, are to:
Lead the efforts to create breakthroughs in precision plant breeding by exploring and developing the next generation of methodologies and models.
Leverage recent advances in high spatial and temporal resolution remote sensing and IoT sensors to develop models that predict novel phenotypes.
Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline;
Independently perform computer programming, predictive modeling, statistical analysis, and experimental design;
Create innovative insights from imagery and sensor data with a focus on large-scale geo-temporal analyses, remote sensing, feature extraction from imagery and time series data, crafting complex model architectures using embeddings and ML/DL techniques;
Build cross-functional relationships to partner with the business collaboratively and effectively network within the Data Science Community;
Use advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions;
Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators;
Demonstrates a moderate level of autonomy in building relationships and networks within the current function, may require guidance to expand networks cross-functionally, interacts most often with Data Scientists within the organization and peer business partners;
Active member in the Data Science community to build personal acumen & ability, while sharing best practices with others;
Serves as a consultant to management and others within a specific area/discipline;
Collaborates regularly, acquiring support and partnership from cross-functional scientific, engineering, and IT teams across the company;
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 OR applied experience in at least one of the following areas: Machine Learning, Computer Science, Electrical/Industrial Engineering, Operation Research, Biostatistics, Computational Biology, Applied Mathematics, Geographic Information Systems or other related quantitative disciplines;
Demonstrates intermediate proficiency in computational skills and level of experience building data models using R, Python or other statistical and/or mathematical programming packages, including CV/ML libraries and deep learning frameworks such as PyTorch, TensorFlow, and Keras.
Demonstrates a basic understanding of software development best practices (Version Control, Code Documentation & Review, Cloud Based Sequence Analysis, Database Management);
Proficient in one of the following: R, Python, Java, Scala, C/C ;
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
Strong proficiency in predictive modeling to include comprehension of theory, modeling/identification strategies and limitations and pitfalls, implementing deep learning architectures for image classification, object detection, and object segmentation, or working with high dimensional data space, including image, weather, and genomic data
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
Masters and 2 or more years of related experience, OR 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;
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.
United States : Missouri : Chesterfield
Hiring InsightsJob activityPosted 30+ days ago