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 Strong 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 in Toronto employer: Tiger Analytics
Tiger Analytics is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Toronto. With a strong focus on employee growth, we offer ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like Neo4j. Our commitment to work-life balance and a supportive environment makes us an ideal place for those seeking meaningful and rewarding careers in data governance and architecture.
