Staff Data Scientist (TLM)
Summary
Lead end-to-end operations research and optimization modeling for supply chain logistics, building production-grade AI models and mentoring a team of data scientists.
- Apply optimization methodologies and solvers
- Continuously improve models using operational feedback
- Define solver integration and model serving requirements
- Develop production grade optimization models
- Drive AI native workflows for operations research
- Establish experimentation standards and evaluation frameworks
- Evaluate AI generated hypotheses before production use
- Formulate optimization problems and measurable objectives
- Handle sparse noisy incomplete non stationary data
- Lead end to end operations research workstreams
- Mentor data scientists and operations research practitioners
- Partner with supply chain logistics and planning stakeholders
- Perform data driven experimentation and backtesting
- Set technical and scientific direction for operations research team
- Translate model outputs into actionable recommendations