Statistician jobs in Lakewood, OH

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.
• Lead and embed 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) andMeasurement System Analysis (MSA) as well assupporting 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. Nestle 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 or PhD in the field of Statistics, Applied Mathematics, Data Science or related fields.
• Minimum 3 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 highly effective Design of Experiments to drive product and process mastership.
• Detailed 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%.