Senior Data Scientist - Optimization - Remote

Overview

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 Principal 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.

In Short

• 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.

Requirements

• Experience in data analytics and optimization.
• Strong coding skills in Python.
• Understanding of supply chain management and inventory optimization.
• Ability to analyze large datasets using statistical techniques.
• Experience with predictive modeling and algorithm development.

Benefits

• Opportunity to work with Fortune 100 companies.
• Flexible working environment with remote options.
• Collaborative team culture with experienced professionals.
• Continuous learning and professional development opportunities.