3M Statistics Specialist 

United States, Minnesota 

776603765

As a statistician, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:

• Design of Experiments (DOE): Develop and implement experimental designs to optimize processes, understand variability, and determine key factors that impact outcomes.
• Data Analysis: Use advanced statistical techniques (e.g., regression analysis, ANOVA, hypothesis testing) and machine learning algorithms (e.g., random forests, neural networks, support vector machines) to analyze data and extract meaningful insights.
• Model Development: Build and deploy predictive models using statistical or machine learning techniques to address business challenges and drive performance improvements.
• Data Preprocessing: Clean, preprocess, and transform raw data for analysis, ensuring high-quality datasets for both statistical and machine learning models.
• Collaboration: Work closely with cross-functional teams (e.g., engineering, marketing, operations) to understand data requirements and ensure alignment with business goals.
• Reporting and Visualization: Create clear, concise reports and data visualizations to communicate findings and recommendations to both technical and non-technical stakeholders.
• Optimization: Leverage DOE principles and machine learning models to optimize systems and processes, continuously improving efficiency and outcomes.
• Research and Innovation: Stay updated with the latest advancements in statistical methods, DOE techniques, and machine learning technologies to incorporate innovative solutions into analyses.

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Master’s degree in Statistics, Data Science, Mathematics, Engineering
• Three (3) years of industry and statistics experiencein a private, public, government or military environment

Additional qualifications that could help you succeed even further in this role include:

• Industry experience of 2 or more years in related fields.
• PhD in Statistics, Data Science, Mathematics, Engineering, or a related field.
• Strong experience in Design of Experiments (DOE), including creating and analyzing factorial designs, definitive screening designs, response surface methodology (RSM), and optimization techniques.
• Hands-on experience with machine learning algorithms (e.g., regression, classification, clustering, and neural networks)
• Proficiency in statistical software (e.g., R, SAS, Minitab, JMP) and programming languages (e.g., Python, MATLAB).
• Solid understanding of data manipulation, exploratory data analysis, and feature engineering techniques.
• Strong analytical skills, with the ability to work with large and complex datasets.
• Experience with model evaluation and validation techniques, including cross-validation and hyperparameter tuning.
• Ability to communicate complex statistical and machine learning concepts in a clear and actionable way to both technical and non-technical audiences.
• Strong problem-solving skills with attention to detail.

Work Location:

• Maplewood, MN
• Lab-based and On-site

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.