Senior Operations Research Scientist, Supply Chain Optimization

Tiger Analytics; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Tiger Analytics, a leader in AI and analytics consulting, seeks a Senior Data Scientist with deep expertise in supply chain optimization and pricing analytics. The role focuses on refactoring optimization algorithms, building predictive models, and delivering data-driven solutions for inventory and allocation across retail and CPG sectors.

The candidate should have 10+ years in data science, advanced degrees, and strong programming skills, with experience in solvers and OR tools.

Qualifications

• 10+ years experience as a Data Scientist with a focus on supply chain optimization.
• Strong programming and data analysis skills (Python, PySpark, SQL).
• Experience with statistical methods and predictive modelling.

Responsibilities

• Refactor and optimize the Python-based optimization algorithm using OOP.
• Apply data science techniques to pricing optimization and replenishment in supply chains.
• Develop predictive models and optimization algorithms to improve inventory management and allocation.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Design experiments to evaluate replenishment strategies and policies.

Job description

Tiger Analytics, a leader in AI and analytics consulting, seeks a Senior Data Scientist with deep expertise in supply chain optimization and pricing analytics. The role focuses on refactoring optimization algorithms, building predictive models, and delivering data-driven solutions for inventory and allocation across retail and CPG sectors.

The candidate should have 10+ years in data science, advanced degrees, and strong programming skills, with experience in solvers and OR tools.