Jobs · Analyst

Senior Data Scientist - Operation Research

Tiger Analytics · Dallas, TX · 3 wk ago
RemoteRemoteAnalystFull-time

Key Responsibilities

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders

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