Lead Data Scientist - Replenishment Optimization

Job Description

• Refactor Distribution Optimization algorithm using Object Oriented Programming • Work on data science applications in Supply chain and optimization • Utilize statistical techniques and data science algorithms for replenishment optimization and inventory allocation • Develop predictive models and optimization algorithms for inventory management • Collaborate with cross-functional teams to translate business requirements into data-driven solutions • Design and execute experiments for evaluating replenishment strategies • Monitor and analyze KPIs related to replenishment and supply chain allocation • Stay updated on industry trends and best practices • Collaborate, coach, and learn with a growing team of Data Scientists

Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Operations Research, or a related field • 6+ years working as a Data Scientist with a focus on replenishment optimization and inventory allocation • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts • Strong proficiency in Python, Pyspark, and SQL • Exceptional communication and collaboration skills

Benefits

• Significant career development • Fast-growing and challenging entrepreneurial environment • High degree of individual responsibility