Data Scientist

Role Overview

We are seeking a Senior Data Scientist (Optimization) with deep expertise in supply chain optimization, replenishment strategy, and inventory allocation. The ideal candidate combines a strong foundation in applied mathematics and programming with hands-on experience applying optimization and machine learning techniques to solve real-world supply chain challenges.

Key Responsibilities

• Refactor and enhance existing optimization algorithms written in Python using object-oriented programming principles.
• Design and implement data science solutions to address complex business problems in the supply chain, retail, and CPG domains.
• Apply advanced statistical, mathematical, and machine learning models to analyze large datasets and optimize replenishment and allocation strategies.
• Build and deploy predictive models and optimization algorithms to improve inventory management, reduce stockouts, and drive operational efficiency.
• Collaborate with cross-functional teams (business, tech, and data engineering) to translate business requirements into data-driven solutions.
• Conduct experimentation and A/B testing to assess the impact of optimization strategies.
• Continuously monitor KPIs and recommend enhancements to replenishment and allocation processes.
• Stay updated on the latest advancements in optimization, supply chain analytics, and AI applications, and help mentor junior data scientists.

Requirements

• 10+ years of proven experience as a Data Scientist, with a strong focus on optimization and supply chain analytics.
• Master’s or Ph.D. in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
• Hands-on experience with mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR-Tools.
• Strong programming skills in Python, with proficiency in libraries such as Pandas, NumPy, PySpark, and SQL.
• Solid understanding of optimization, predictive modeling, and statistical analysis.
• Ability to translate analytical findings into clear business insights and communicate effectively with stakeholders.
• Collaborative mindset with a passion for problem-solving and continuous learning.