Tiger Analytics is looking to solve some of the toughest problems faced by organizations globally, specifically in the CPG & retail industry, by developing bespoke solutions powered by data and technology.
Requirements
- 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
- 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 with data science algorithms to analyze large datasets and derive actionable insights
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 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.
- 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.
Other
- MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
- Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
- Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
