Principal Data Scientist - Replenishment Optimization

Job Description

• Refactor Distribution Optimization algorithm written in Python using Object Oriented Programming • Work on data science applications for Supply Chain and Retail/CPG • Develop and implement predictive models and optimization algorithms for inventory management • Collaborate with cross-functional teams and grow within a team of experienced 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

Benefits

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