Senior Ops Research Scientist - Supply Chain Analytics

Tiger Analytics Inc.; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Tiger Analytics Inc. is seeking a Senior Data Scientist to advance pricing analytics and optimization within supply chains, focusing on inventory allocation and replenishment strategies.

The role emphasizes refactoring Python-based optimization code, applying OR tools, and delivering data-driven solutions across Retail and CPG sectors. You will collaborate with a growing team of data scientists and engage with business partners to translate needs into actionable models and experiments, all in a

Qualifications

• 10+ years as a Data Scientist focused on supply chain optimization and inventory allocation.

Responsibilities

• Refactor the optimization algorithm written in Python using object-oriented programming.
• Solve pricing optimization and replenishment problems in supply chains for Retail/CPG.
• 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 and run experiments to evaluate replenishment strategies and allocation policies.
• Monitor KPIs related to replenishment and supply chain performance; provide improvement recommendations.
• Stay updated on data science trends in replenishment optimization and supply chain mgmt.
• Mentor and collaborate with a growing team of data scientists.

Skills

Communication

Collaboration

Analytical thinking

Problem solving

Leadership

Education

MS or PhD in CS/OR/Applied Math/ML

Tools

Python

PySpark

SQL

Gurobi

Xpress MP

CPLEX

Google OR-Tools

Job description

Tiger Analytics Inc. is seeking a Senior Data Scientist to advance pricing analytics and optimization within supply chains, focusing on inventory allocation and replenishment strategies.

The role emphasizes refactoring Python-based optimization code, applying OR tools, and delivering data-driven solutions across Retail and CPG sectors. You will collaborate with a growing team of data scientists and engage with business partners to translate needs into actionable models and experiments, all in a