We are Covestro. We are curious. We are courageous. We are colorful. We refined Chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,150 colleagues now and together we will make the world a brighter place.
WHAT WE OFFER
At Covestro, our strategy to focus on customer and market needs, drive sustainable growth, and become fully circular rests on a foundation of digital transformation. Our digital transformation touches work areas as diverse as Digital Infrastructure, Knowledge Flow, Data-Driven R&D, and R&D Simulations. As part of a global Digital R&D team of world-class digital R&D experts, this position will play a key role in building our North American Digital R&D group into all of these areas. The focus of this position is on R&D data science, process & application simulation, and cheminformatics and material simulations. In this position, you will turn data into knowledge and knowledge into stories with business value. You will use advanced statistical mathematical models, image analysis, machine learning and neural net algorithms combined with strong business acumen and passion for solving material science problems to deliver insight, recommendations, and software-as-a-service (SaaS) solutions that drive development of new formulations and materials.
Use your combined knowledge of chemistry, materials, and data science to accelerate innovation at Covestro, helping technical colleagues solve problems, gain knowledge, and delighting them with new digital tools.
Develop and co-develop with co-workers new information concepts; help embed new digital skills and unique digital solution capabilities throughout the organization.
Meet internal customers' needs for digital tools to analyze complex data sets, to understand structure property relationships through advanced cheminformatics and material simulations, and to enhance process and quality control by delivering deep insight from diverse data streams such as process control historians and laboratory information management systems.
Serve internal and external customers with SaaS solutions to enable them to more effectively use Covestro materials in their processes and to rely upon Covestro as their partner of choice.
Lead and train new employees, trainees, and colleagues in data science concepts and in the use of digital tools.
Communicate developments effectively to clients internally and externally at all levels to confirm understanding of unmet needs and validate value propositions of Digital R&D services.
Lead and participate in projects with both regional and global reach.
WHAT YOU OFFER
BS in Chemistry, Chemical Engineering, Material Science, or related field AND a Graduate degree (MS + 2 years' experience, or PhD) with experience in Artificial Intelligence / Machine Learning / Deep Learning, Statistics, Applied Mathematics or related field
Minimum 3 years' experience with R, Python and/or other programming languages such as MatLab, SAS, etc.
Passion for using data analysis and modeling techniques to solve technical problems in chemistry, engineering or material science
Great communication and presentations skills (English), ability to tell stories with data
Collaborative; demonstrated ability to make fruitful connections across different functions and cultures
Experience translating data science-driven solutions into useful tools for internal and external customers.
Image analytics / functional data analysis
Bayesian statistics and modeling
Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!
Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.
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