p>Potential projects (depending on intern skills and current Lubrizol needs): • Deploy algorithms and build predictive models to optimize inventory levels by analyzing demand patterns, downtime, and market dynamics • Develop predictive models for demand forecasting by leveraging market drivers and analyzing complex data to uncover actionable insights • Implement and assess algorithms in R and Python (SAS, JMP, or C#/C++, optional) • Collaborate with the data science team, as well as demand planners, commercial and chemical engineers, to understand their needs and find creative solutions to meet those needs • Research, develop, and operationalize new statistical, machine learning and/or optimization methods (PhD level).
Enrolled in a Master's or PhD program such as data science, machine learning, operations research, supply chain management, industrial engineering, or chemical engineering Dual degree students (e.g., data science and industrial / chemical engineering, operations research, supply chain management, etc.) are encouraged to apply Significant coursework in optimization & predictive modeling Advanced programming skills and exposure to data query languages Interest and experience in advanced statistical and machine learning methodology (PhD level) Curiosity, creativity, initiative, and autonomy.