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Senior Data Analytics Expert
2 months ago
Tiger Analytics is a pioneering company that harnesses the power of AI and analytics to tackle complex problems faced by organizations globally. With a strong presence in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce, we develop bespoke solutions powered by data and technology for several Fortune 100 companies.
We are market leaders in AI and analytics consulting in the Consumer Goods & Retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are expanding our talent pool in the space.
We are seeking a highly skilled Senior Data Analytics Expert to join our team. The ideal candidate will have a strong blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities.
Key Responsibilities:- Refactor the Optimization algorithm written in Python using Object Oriented Programming to improve efficiency and scalability.
- 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.
- 10+ years of experience working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
- MS or PhD in Operations Research, Industrial Engineering, Mathematics, or 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.
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.
