Data Scientist Intern – PhD Level
The Lubrizol Corporation · Hazelwood
Description du poste
About the role
Join Lubrizol’s Data Science & Statistics team as a PhD‑level Data Scientist Intern. You will work on cutting‑edge analytics projects that support sustainable product development and provide data‑science consulting to technical teams worldwide.
Key responsibilities
- Develop predictive models by mining complex formulation and testing data.
- Implement and evaluate algorithms in R and Python (optional use of SAS, JMP, C#/C++).
- Research, prototype, and operationalize new statistical, machine learning, or optimization methods.
- Improve forecasting algorithms and explore cheminformatics modelling.
- Investigate active‑learning approaches for process‑optimization scheduling and inventory management.
- Accelerate product development cycles using emerging AI techniques such as LLMs, RAG, or agentic AI.
Required profile
- PhD‑level education in a quantitative discipline (e.g., statistics, data science, chemistry, engineering).
- Strong analytical mindset with experience in predictive modeling and machine learning.
- Ability to work collaboratively with multidisciplinary teams.
Required skills
- R programming
- Python programming
- SAS (optional)
- JMP (optional)
- C# / C++ (optional)
- Bayesian statistics
- Machine learning algorithms
- Optimization techniques (genetic algorithms, multi‑objective optimization)
- Cheminformatics modelling
- R/Shiny for interactive tool development
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The Lubrizol Corporation
Hazelwood
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