Senior Data Scientist - Replenishment Optimization

April 26

Tiger Analytics

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AI & Analytics for today’s business challenges.

Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing

1001 - 5000

Description

• Refactor Distribution Optimization algorithm in Python using OOP • Solve business problems in Supply chain and Optimization space of CPG • Utilize statistical techniques and data science algorithms to analyze large datasets • Develop and implement predictive models and optimization algorithms for inventory management • Collaborate with cross-functional teams • Design and execute experiments • Monitor and analyze KPIs related to replenishment and supply chain • Stay abreast of industry trends and best practices • Collaborate, coach, and learn with a team of experienced Data Scientists

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Operations Research, or related field • 6+ years working as a Data Scientist focusing on replenishment optimization and supply chain allocation • Solid understanding of statistical methods, optimization techniques, and predictive modeling concepts • Strong proficiency in Python, SQL, data analysis, and machine learning libraries • Ability to apply analytical models to business use cases • Exceptional communication and collaboration skills

Benefits

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