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Lead Data Scientist
3 months ago
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 Sr 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 Distribution 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
Proven experience 6+ years working as a Data Scientist, with a focus on replenishment optimization and inventory allocation
Bachelor's or Master's degree in Computer Science, Statistics, Operations Research, or a related field
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
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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