Teams at Tiger Analytics

Lead development of supply-chain and pricing optimization solutions: refactor Python optimization code using OOP, build predictive and optimization models for inventory, replenishment, and allocation, collaborate with cross-functional teams, design experiments, monitor KPIs, and mentor other data scientists.

Lead development and refactor optimization algorithms in Python for pricing and supply‑chain problems. Design and implement predictive models and mathematical optimization solutions, collaborate with cross‑functional teams, coach data scientists, and translate business requirements into data‑driven pricing and replenishment strategies.

Lead design, development, and deployment of end-to-end recommendation systems. Build, tune, and evaluate scalable recommendation algorithms, integrate ML into products, lead projects, mentor teams, and communicate solutions to clients and stakeholders while driving innovation in replenishment and supply chain analytics.