As a Senior Data Scientist – Product and process modelling, your responsibilities will include:

• Apply Data Science/Machine Learning approaches to establish relationships between material properties, manufacturing processes and product performance. Identify new product development or process improvement opportunities based on the insights.
• Connect food application performance requirements to molecular targets and optimal process conditions to accelerate product development of functional ingredients
• Utilize comprehensive product libraries to develop structural and functional maps that will aid in rapid selection of ingredients, raw materials, and/or food systems for targeted food applications
• Collaborate with appropriate internal functions and build process simulation models (Digital Twins) for selected manufacturing processes
• Ideate and analyze large amounts of complex raw and processed information to identify opportunities to advance Digital Transformation Strategy within the Innovation Group
• Develop and lead complex projects that involve advanced analytics and simulations
• Create client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods
• Maintain a continuous education of cutting-edge statistical techniques and programming languages

The Senior Data Scientist – Product and process modelling position is well-suited for you if you:

• Have strong critical analytical thinking and problem-solving capabilities and creatively link together disparate ideas to propose novel approaches.
• Adapt to shifting priorities appropriately and help others operate with flexibility.
• Demonstrate a high degree of energy, self-motivation, personal commitment, and ownership.
• Offer new ideas, think “outside the box” and have an ability to explore multiple possibilities for tackling challenges to come up with best solutions.
• Learn continuously and stay up-to-date with current science trends.

Qualified candidates will have:

• A degree in Statistics, Chemical Engineering, Applied Mathematics, Computer Science or other technical discipline and 5+ years industrial experience. PhD or Masters degree is a plus.
• Experience with statistical programming languages (e.g. R, Python, SAS etc.) and proven ability to work pragmatically with statistical concepts and deliver end-to-end solutions
• Track record of applying AI approaches in process and product design
• Experience with Agile Scrum methodology
• Demonstrated ability to manage projects independently and lead multifunctional teams.
• Critical analytical thinking, problem-solving capabilities, and proven records of creative ideation
• Strong communication skills, both written and oral. Demonstrated ability to write comprehensive technical reports and deliver technical presentations
• Excellent planning and organizational skills
• Ability to interact constructively with colleagues from a wide variety of roles within the company