Sr Data Scientist

Sr Data Scientist

Pourpose:

Bayer is looking for a Senior Data Scientist to join the Data Science and Engineering Capability Center in Bayer Euroservices within the Crop Science hub. This role will develop state-of-the-art ML/AI models in support of advancing new products through the R&D pipeline and generating new insights for R&D stakeholders.

• The individual works collaboratively with interdisciplinary scientists, Enterprise IT and engineering professionals across the organizations to solve critical problems and answer important questions that drive key decisions for our business.
• Fosters new game changing ideas to produce sophisticated, intelligent optimization solutions and predictive models.
• Works on a team as an individual contributor with other Data Scientists. May lead multi-discipline project teams of large scope which may require assigning and coordinating the work of others.

• Develop, implement, and deploy state-of-the-art ML/AI models and imaging technologies in digital pipelines for key vegetable projects with scientists and engineers across Crop Science research and development (R&D).
• Use advanced imaging-based analytical models, machine learning and AI algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions.
• Lead imaging-based project by designing and conducting the experiments, and effectively communicate the project milestones, insights and timelines with other teams and update the key stakeholders in a timely manner.
• Develop DL/AI models to simulate crop performance simulations using genetic, environmental and digital phenotyping datasets.
• Develop sustainable, accurate, and impactful reporting on imaging model inputs/outputs, business impact, and key performance indicators.
• Deploy containerized ML/AI models for inference workflows.
• Demonstrate full autonomy in developing relationships for effective cross-functional collaboration throughout multiple organizations and partner on work stream initiatives for Data Science Community.
• Assess needs and recommend experiments and projects, suggests new algorithmic development, drive tactical decisions about approaches and needed data.
• 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.
• Develop Code: (20-25%), Stats/Modeling Research: (30-35%), Domain Knowledge and Consulting Industry Experts: (30-35%), Provide Technical Guidance to Associate DS and DS, mentors, develops and delivers presentations and strategies: (10-15%).

• Building relationships and networks within current function and cross-functionally, interacts most often with Data Scientists across multiple organizations and key stakeholders within the business including senior level management.
• Active member in the Data Science community to build personal acumen & ability, while also sharing new industry best practices in data science methodologies.
• Provides support for their team without management presence and is expected to provide technical leadership to all levels of the organization.

Education/Experience

• Bachelors degree with 8 years of experience or Masters degree with 6+ years experience or PhD with 3 years of experience.

Skills (Technical & Soft)

• Educational preparation or applied experience in at least one of the following areas:
  Machine Learning/Deep Learning Artificial Intelligence, Imaging Science, Computer Vision, Photogrammetry and Crop Simulation.
• Advanced competencies in image processing, computer vision, color spaces, and photogrammetric modeling.
• Solid understanding of machine learning and deep neural network algorithms and advanced statistics including regression, time-series forecasting, clustering, decision trees, exploratory data analysis methods, simulation, optimization.
• Advanced experience in ML/DL modeling and conduct analysis of high dimensional and multi-layered geospatial data layers from cutting edge imaging modalities including: multispectral, hyperspectral, LIDAR, thermal sensors.
• Demonstrate…