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.