🛠 Tech Stack

💼 About This Role

You'll build and deploy advanced AI/GenAI and ML systems grounded in applied mathematics and Operational Research, working at the intersection of optimization, inference science, NLP, and reinforcement learning. You'll translate ambiguous operational problems into clear formulations and lead implementation end-to-end, with a strong emphasis on practical delivery and measurable business outcomes.

🎯 What You'll Do

• Translate business challenges into mathematical and computational models.
• Evaluate and adapt OR, AI/ML, GenAI/LLM approaches.
• Design and implement new algorithms when needed.
• Build prototypes, run experiments, and lead production implementation.

📋 Requirements

• Strong applied mathematics background with depth in Operational Research (LP/MIP, constraint programming, network/graph optimization, stochastic/robust optimization, simulation, heuristics).
• Research or applied experience in inference science, NLP, or reinforcement learning.
• Proven ability to implement algorithms and deliver real systems end-to-end.
• Strong coding skills in Python and familiarity with scientific/ML tooling.

✨ Nice to Have

• Experience in supply chain optimization (planning, inventory, logistics, fulfillment, scheduling).
• Experience building GenAI/LLM-enabled decision systems (RAG, tool-augmented agents, evaluation frameworks).
• Background shipping applied science solutions into production environments.

🎁 Benefits & Perks

• 💰 Competitive compensation including base salary range $152,000-$189,264 USD.
• 🏖️ Comprehensive benefits (not specified in detail).
• 📈 Senior technical ownership with hands-on build-and-ship expectation.
• 🌍 High-impact real-world optimization problems in pharmaceutical supply chain.

🚩 Heads Up

• Title combines Staff and Senior levels, which may indicate role ambiguity.
• Expected to have both deep theoretical background and strong coding/production skills, which is demanding.