Senior Data Scientist - Optimization

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 optimizing replenishment strategies and allocating resources 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 CPGUtilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocationDevelop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chainCollaborate with cross-functional teams to understand business requirements and translate them into data-driven solutionsDesign and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policiesMonitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvementStay 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 organizationCollaborate, coach, and learn with a growing team of experienced Data ScientistsRequirementsProven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocationMS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related fieldExperience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applicationsSolid understanding of statistical methods, optimization techniques, and predictive modelling conceptsStrong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning librariesAbility to apply various analytical models to business use casesExceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholdersBenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.