Remote Principal Data Scientist - Optimization

Description:

• Tiger Analytics is seeking a Principal Data Scientist specializing in optimization to join their team.
• The role involves refactoring optimization algorithms in Python using Object-Oriented Programming.
• Responsibilities include applying data science to solve supply chain and optimization challenges in the Retail and/or CPG industry.
• The position requires analyzing large datasets, developing predictive models, and optimizing resource allocation to enhance inventory management.
• The Principal Data Scientist will collaborate with cross-functional teams, design experiments, monitor KPIs, and stay updated on industry trends.
• The role also involves coaching and learning within a team of experienced Data Scientists.

Requirements:

• Minimum 10 years of experience as a Data Scientist, focusing on supply chain optimization and inventory allocation.
• Must hold an MS or PhD in OR, IE, Math, or ACO (Algorithm, Combinatorics, and Optimization).
• Proficiency in mathematical programming solvers like Gurobi, Xpress MP, CPLEX, or Google OR Tools.
• Strong understanding of statistical methods, optimization techniques, and predictive modeling.
• Expertise in Python, Pyspark, SQL, and data analysis and machine learning libraries.
• Ability to apply analytical models to business scenarios and excellent communication skills.

Benefits:

• The position provides a significant opportunity for career growth in a fast-growing and challenging entrepreneurial setting.
• Offers a high level of individual responsibility and the chance to work on cutting-edge solutions in the AI and analytics space.