Lubrizol Corporation is seeking to transform the chemical industry by creating analytics systems for highly effective product development, virtual experimentation, optimization, and knowledge discovery. They also aim to deliver data science solutions for computer vision automation, Operations, and Supply Chain, and provide data science consulting services to their global technical community.
Requirements
- Implement and assess algorithms in R and Python (SAS, JMP, or C-Sharp/C++, optional)
- Able to efficiently manipulate, process, and analyze data of various modalities, including numerical, image, text, and beyond
- Advanced programming skills and exposure to data query languages
- Significant coursework in predictive modeling, Bayesian approaches, and optimization, deep learning, forecasting, multivariate data analysis, and/or generative AI
- Interest and experience in advanced statistical and machine learning methodology (PhD level)
- Research, develop, and operationalize new statistical, machine learning and/or optimization methods (PhD level)
- Create predictive models by mining complex data for critical formulating or testing insights
Responsibilities
- Create predictive models by mining complex data for critical formulating or testing insights
- Implement and assess algorithms in R and Python (SAS, JMP, or C-Sharp/C++, optional)
- Deploy algorithms and create predictive models by mining complex visual data
- Research, develop, and operationalize new statistical, machine learning and/or optimization methods (PhD level)
- Create predictive models using Bayesian and machine learning methods
- R/Shiny tool development to enable model predictions and formulation optimization
- Creation of an interactive visualization tool for monitoring predictive models
Other
- Enrolled in a Master’s or PhD program such as statistics, data science, machine learning, or chemical engineering
- Dual degree students (e.g., statistics/data science and chemistry, chemical engineering, computational chemistry, etc.) are encouraged to apply
- Collaborate with the data science team, as well as scientists and chemical engineers, to understand their needs and find creative solutions to meet those needs
- Curiosity, creativity, initiative, and autonomy
- Housing and relocation assistance available for eligible students
