Nestlé’s Research & Development Center is our regional powerhouse driving innovation in food, beverage, and pharmaceutical science. Backed by our global Nestlé R&D organization, we lead breakthrough discoveries that are both good for consumers and the planet. Our team of experts range from product developers to engineers, working across our portfolio of food, beverage, infant nutrition, and health science to create leading-edge products and services. As part of our organization, you will use your entrepreneurial spirit and commitment to excellence to unlock the power of food and provide premium value.   

This position is not eligible for Visa Sponsorship.

Associate Statistician

The Nestlé Development Center in Solon uses science and technology to enhance new and existing frozen and chilled meals, pizza and snacking product experiences. Our mission is to leverage our diverse expertise to unlock innovative solutions, creating food people love. To achieve this, we are committed to attracting and developing the right people. Come join us and help create the future.

POSITION SUMMARY: 

• Champion the role and value of statistics and data science to unlock innovative solutions, such as predictive modeling, for R&D and business partners.
• Drive improvement in product and process performance and understanding using advanced statistics and data analysis.
• Enable smarter manufacturing and sensory/product experience controls.

PRIMARY RESPONSIBILITIES:

• Support project teams by providing results-driven statistical, data science or mathematical expertise.
• Drive statistical thinking and variability awareness across Solon R&D and Operations.
  • Ensure efficient transfer of appropriate statistical knowledge/skills in R&D (regular update of statistical approach, develop training, train/coach other R&D specialists and PMs).
  • Provide technical assistance to Operations (factories, PD groups, etc.) on application of different statistical methods.
  • Promote manufacturing excellence by providing expertise in Statistical Process Control (SPC) and Measurement System Analysis (MSA) as well as supporting the harmonization of process capability assessment.
• Provide support and expertise in Statistics (DoE, MVA) to gain knowledge within our projects:
  • Design experiments: define the optimal set of experiments for a given set of experimental parameters taking into account the research questions and resource constraints.
  • Analyze data: Perform complex mathematical optimization of food processing conditions and recipes that match consumer and business expectations (sensory quality, nutritional value, sustainability, affordability etc.) for all product categories.
  • Application of advanced statistical methods to relate product parameters to consumer liking.
• Apply statistical modelling techniques to visualize data, modelling the relation between input (e.g., production settings) and output (e.g., sensory) variables, and translate findings into user-friendly tools that are helpful to accelerate product development.
• Interpret results and translate them into relevant information for product development activities, and communicate through technical papers, reports and presentations (internal/external).
• Develop and use statistical/analytical tools to provide Technical Assistance as per market / SBU request (provide services & solutions to ensure Manufacturing Excellence)
• Actively participate in networks or expert communities and events, i.e. Nestlé DATAnalytics Knowledge Network, to leverage cross-business knowledge and exchange best practices.
• Communicate effectively with key business stakeholders to identify business needs and promote added value of data-driven approaches.

JOB QUALIFICATIONS (Education, Experience, and Knowledge):

• Master’s Degree in the field of Statistics, Applied Mathematics, Data Science or related fields.
• Minimum 2 years working experience in statistics for product design (food or related consumer products is a plus).
• Working experience in data science for product design (food or related consumer products) is a plus.
• Practical experience building Design of Experiments to drive product and process mastership.
• Understanding of statistics. Should understand the theoretical foundation of statistical methods and how to properly apply these methods, what are the underlying assumptions and limitations.
  • Has practical knowledge of statistical tools such as Q-stat, Statistical Process Control (SPC), Statistical Power Analysis and Liner Least Squares Regression, Measurement System Analysis (MSA).
• Mastership of Data Visualization Tools such as Excel, Power BI, and MiniTab.
• Has practical experience leveraging hypothesis tests to drive decision making in support of product development.
• Has practical/hands on experience distilling information (via uni/multivariate analysis methods, data visualization tools, and numerical optimization methods such as high dimensional data analysis, multi variant statistics, omics data analysis, feature extraction) and building a story to effectively convey/communicate the meaning of the data.
• Leadership capabilities and a strong ability to coach and train others.
• Highly developed problem solving mindset and analytical thinking skills.
• Excellent communication skills to impact/convince others. Ability to present your results to a non-technical audience in a precise and concise manner.
• Strong networking & information gathering skills, ability to work in teams.
• Passionate to ensure that his/her scientific expertise is developed and maintained.
• Medium to strong knowledge of either R or Python.
• Knowledge of mathematical optimization and advanced statistics is a plus.
• Experience/exposure to building large-data predictive AI models that reduce dependence on physical trials is a plus.
• Experience transforming machine learning models into specific applications to increase efficiency, increase profits or enable better business decisions a plus.
• Experience providing guidance on data structure to unlock future process modelling a plus.
• Ability to Travel up to 10%.  

SUPERVISION RECEIVED:

A proactive independent person able to manage/complete projects with minimal supervision. There will be at least two formal meetings with the supervisor to evaluate the progress toward the goals. There is also the opportunity to work closely with other members of the team for guidance. There will be formal training sessions set up for all newcomers to Nestle as well as specific courses required as an R&D employee. The supervisor will set up a training plan, and it is the responsibility of the individual to execute the plan.

SUPERVISION GIVEN:

This individual does not have any direct reports but should be able to mentor/coach team members in initiatives/projects that he/she is leading/supporting. 

STRATEGIC IMPACT:

This position is in support and service of key Nestle Brand partners - 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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To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role.  In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities.  Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment.  All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is eligible for Visa Sponsorship for the right candidate based in the US.

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It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role.  In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities.  Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are an equal employment opportunity and affirmative action employer* seeking diversity in qualified applicants for employment.  All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467

*Note: Nespresso is not a federal contractor and does not maintain affirmative action programs

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy