Remote Lead Data Scientist, Optimization

Summary

Join our team at Tiger Analytics as we pioneer AI and analytics solutions to solve complex problems. We're seeking a Data Scientist with expertise in data analytics, replenishment strategies, and supply chain optimization to add to our team.

Requirements

• Proven experience 5+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation
• MS or PhD in OR, IE, Math and ACO (Algorithm, Combinatorics, and Optimization)
• 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

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 replenishment optimization and inventory allocation
• 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