Supply chain optimization and Python expertise define this Senior Data Scientist opportunity at Tiger Analytics. Apply advanced analytics to pricing challenges.
Tiger Analytics seeks a Senior Data Scientist with data analytics experience, operations research strategies, pricing analytics, and strong coding capabilities. The work addresses business problems in supply chain optimization for retail and CPG. You will analyze large datasets, develop predictive models, and collaborate with business partners and experienced Data Scientists. Experience with inventory allocation and mathematical programming supports this work.
Key Responsibilities: Refactor Python optimization algorithms using object oriented programming
Analyze supply chain and optimization problems in retail and CPG




Apply statistical techniques to pricing optimization datasets
Develop predictive models and pricing optimization algorithms
Translate business requirements into data driven solutions
Requirements: 10+ years as a Data Scientist
Supply chain optimization and inventory allocation experience
MS or PhD in a related quantitative field
Experience with Gurobi, Xpress MP, CPLEX, or Google OR Tools
Robust Python, Pyspark, SQL, and machine learning library proficiency
Use Python, predictive modeling, and optimization expertise to advance pricing analytics for Tiger Analytics supply chain clients.

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📌 Senior Supply Chain Data Scientist (Ontario)
🏢 Tiger Analytics
📍 Ontario