Principal R&D Data Scientist

    

As a Principal Scientist, you will be responsible for promoting the value of statistics and data science to drive innovative solutions for R&D and business partners. You will use advanced statistical methods and data analysis to improve product and process performance, and enable smarter manufacturing and sensory/product experience controls.

Key Responsibilities:

• Provide statistical, data science, or mathematical expertise to project teams.
• Lead the integration of statistical thinking and variability awareness across R&D and Operations.
• Transfer statistical knowledge and skills to R&D through regular updates, training development, and coaching.
• Assist Operations with the application of statistical methods.
• Promote manufacturing excellence through expertise in Statistical Process Control and Measurement System Analysis.
• Design experiments, analyze data, and apply advanced statistical methods to gain knowledge within projects.
• Interpret results, translate them into relevant information for product development, and communicate through technical papers, reports, and presentations.
• Develop and use statistical/analytical tools to provide Technical Assistance to markets and SBUs.
• Participate in networks or expert communities and events to leverage cross-business knowledge and exchange best practices.
• Communicate effectively with key business stakeholders to identify business needs and promote the added value of data-driven approaches.

Qualifications:

• Master's Degree or PhD in Statistics, Applied Mathematics, Data Science, or related fields.
• Minimum of 3 years of experience in statistics for product design.
• Experience in data science for product design is a plus.
• Practical experience building effective Design of Experiments.
• Detailed understanding of statistics and the theoretical foundation of statistical methods.
• Practical knowledge of statistical tools such as Q-stat, Statistical Process Control, Statistical Power Analysis, Linear Least Squares Regression, and Measurement System Analysis.
• Mastery of Data Visualization Tools such as Excel, Power BI, and MiniTab.
• Experience leveraging hypothesis tests to drive decision making in product development.
• Experience distilling information and building a story to effectively convey the meaning of data.
• Leadership capabilities and the ability to coach and train others.
• Highly developed problem-solving and analytical thinking skills.
• Excellent communication skills and the ability to present results to a non-technical audience.
• Strong networking and information gathering skills, and the ability to work in teams.
• Passion for developing and maintaining scientific expertise.
• Knowledge of R or Python.
• Knowledge of mathematical optimization and advanced statistics is a plus.
• Experience building large-data predictive AI models is a plus.
• Experience transforming machine learning models into specific applications is a plus.
• Experience providing guidance on data structure is a plus.
• Ability to travel up to 10%.

Supervision:

• You will be expected to lead, manage, and complete projects with minimal supervision.
• You will have at least two formal meetings with your supervisor to evaluate progress towards goals.
• You will have the opportunity to work closely with other team members for guidance.
• You will receive formal training as a newcomer to Nestle, as well as specific courses required as an R&D employee.
• Your supervisor will set up a training plan, and it is your responsibility to execute it.
• You will not have any direct reports, but you will be expected to lead, mentor, and coach team members in initiatives and projects that you are leading or supporting.

Strategic Impact:

• This position supports key Nestle Brand partners, including Stouffer's, Lean Cuisine, Hot Pockets, DiGiorno, and Tollhouse, as well as the R&D Nestle Global environment and other Nestlé USA brands.

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