Senior Data Scientist - Operation Research

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space. We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team. 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 Pricing techniques. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. 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 wi