At Lilly, the business problem is to analyze complex data sets, develop simulation models, leverage foundation models, and identify insights that can drive business decisions to make life better for people around the world.
Requirements
- Experience with simulation and machine learning
- Proficiency in programming languages such as Python or R
- Experience with deep learning algorithms and reinforcement learning
- Experience with simulation platforms like Anylogic
Responsibilities
- Develop and implement machine learning algorithms to analyze large data sets
- Frame and solve complex business problems with simulation and AI
- Develop and implement scenario planning models
- Conduct research to identify emerging trends and technologies
- Manage and prioritize multiple projects simultaneously
- Stay up-to-date with emerging trends and technologies in simulation and AI
- Ensure data quality and accuracy
Other
- Must be willing to relocate
- Schedule will be hybrid (3 days onsite at the Lilly Corporate Center)
- Ph.D. in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering, or a quantitative related field
- Or MS in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering, or a quantitative related field with at least 5 years of related working experience
- Excellent communication and presentation skills
