Lead Data Scientist in Supply Chain Optimization

4 weeks ago


Toronto, Ontario, Canada Tiger Analytics, LLC Full time

Tiger Analytics, LLC is at the forefront of leveraging AI and analytics to tackle some of the most challenging issues faced by organizations worldwide. We create tailored solutions driven by data and technology for numerous Fortune 100 companies. Our presence spans multiple cities across the US, UK, India, and Singapore, complemented by a significant remote workforce globally.

We are recognized leaders in AI and analytics consulting within the Consumer Packaged Goods (CPG) and retail sectors, with over 40% of our revenue derived from this industry. This sector is our fastest-growing area, and we are enhancing our talent pool to meet increasing demands.

We are seeking a Principal Data Scientist who possesses a robust background in data analytics, practical experience in optimizing replenishment strategies, and strong programming skills to enhance our team.

Key Responsibilities:

  1. Refactor optimization algorithms developed in Python utilizing Object-Oriented Programming principles.
  2. Engage with the latest data science applications to address business challenges in the supply chain and optimization domains of retail and/or CPG.
  3. Employ advanced statistical methodologies and data science algorithms to analyze extensive datasets, deriving actionable insights related to replenishment optimization and inventory management.
  4. Design and implement predictive models and optimization algorithms aimed at enhancing inventory management, minimizing stockouts, and optimizing resource allocation throughout the supply chain.
  5. Collaborate with cross-functional teams to comprehend business requirements and translate them into data-driven solutions.
  6. Devise and conduct experiments to assess the effectiveness of various replenishment strategies and allocation policies.
  7. Monitor and evaluate key performance indicators (KPIs) associated with replenishment and supply chain allocation, providing recommendations for ongoing enhancement.
  8. Stay informed about industry trends and best practices in data science, replenishment optimization, and supply chain management, leveraging this knowledge to foster innovation within the organization.
  9. Collaborate, mentor, and learn alongside a growing team of seasoned Data Scientists.

Minimum Requirements:

  1. Over 10 years of proven experience as a Data Scientist, focusing on supply chain optimization and inventory management.
  2. Master's or PhD in Operations Research, Industrial Engineering, Mathematics, or related fields.
  3. Experience with mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools.
  4. Strong understanding of statistical methods, optimization techniques, and predictive modeling concepts.
  5. Proficient in programming languages including Python, Pyspark, and SQL, with experience in data analysis and machine learning libraries.
  6. Ability to apply various analytical models to real-world business scenarios.
  7. Exceptional communication and collaboration skills to understand business partner needs and deliver effective solutions.

This position presents an outstanding opportunity for significant career advancement in a rapidly growing and dynamic entrepreneurial environment, characterized by a high level of individual responsibility.



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