Senior Supply Chain Data Scientist

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 programmingAnalyze supply chain and optimization problems in retail and CPGApply statistical techniques to pricing optimization datasetsDevelop predictive models and pricing optimization algorithmsTranslate business requirements into data driven solutionsRequirements:
10+ years as a Data ScientistSupply chain optimization and inventory allocation experienceMS or PhD in a related quantitative fieldExperience with Gurobi, Xpress MP, CPLEX, or Google OR ToolsStrong Python, Pyspark, SQL, and machine learning library proficiencyUse Python, predictive modeling, and optimization expertise to advance pricing analytics for Tiger Analytics supply chain clients.
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