Maxterial is looking to analyze existing correlations among functions and dependencies on factors crucial during the manufacturing of a complex superalloy coating, to recognize patterns and correlations, and propose additional data collection required for designing further experiments.
Requirements
- Deep understanding of Design of Experiments.
- Experience with data cleaning and manipulation.
- Utilize statistical software including SPSS and JMP.
- Have previous experience with multifactorial analysis.
Responsibilities
- Applies advanced statistical techniques to identify patterns and correlations among data and generates insights in various state-of-the-art super-alloy systems and coatings.
- Designs, develops, and evaluates experimental models to optimize success in multifactorial experiments.
- Applies advanced statistical techniques, including analysis of variance, multivariate analyses, and other required techniques, to analyze the data and effects of experimentation.
- Assists in performing advanced analysis on real-world and laboratory data to design new experiments and enhance existing methods.
- Performs data entry and cleaning as needed.
Other
- Ideal candidates have or are in the process of obtaining a Master’s or PhD in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative.
- Strong oral and written communication skills.
- Experience with Microsoft environment: Windows OS, Office 365, Teams, etc.
