Data Science Leader

2 months ago

Toronto, Ontario, Canada Tiger Analytics Full time

Tiger Analytics is a pioneering company in the field of artificial intelligence and analytics, dedicated to solving complex problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies, with offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

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 in the space.

We are seeking a highly skilled Data Science Leader with a strong background in data analytics, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to join our team.

Key Responsibilities:

  • Refactor the Optimization algorithm written in Python using Object Oriented Programming to improve efficiency and scalability.
  • Apply advanced data science techniques to solve business problems in the Supply Chain and Optimization space of Retail and/or Consumer Goods.
  • Analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation using advanced statistical techniques and data science algorithms.
  • 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 up-to-date with 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 of 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • Master's or Ph.D. 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 modeling 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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