Remote Senior Data Scientist - Replenishment Optimization

Description:

• Tiger Analytics, a leader in AI and analytics consulting, is seeking a Senior Data Scientist for Replenishment Optimization.
• The role involves refactoring the Distribution Optimization algorithm using Python and Object Oriented Programming.
• Responsibilities include applying data science to solve supply chain and optimization challenges in the Retail and CPG industry.
• Analyzing large datasets to derive insights on replenishment optimization and inventory allocation.
• Developing predictive models and optimization algorithms to enhance inventory management and resource allocation.
• Collaborating with teams to translate business requirements into data-driven solutions.
• Designing experiments to evaluate replenishment strategies and allocation policies.
• Monitoring KPIs and providing recommendations for continuous improvement.
• Staying updated on industry trends to drive innovation within the organization.
• Opportunity to work with a team of experienced Data Scientists.

Requirements:

• Minimum 6 years of experience as a Data Scientist, focusing on replenishment optimization and inventory allocation.
• Bachelor's or Master's degree in Computer Science, Statistics, Operations Research, or related field.
• Proficiency in Python, Pyspark, SQL, and data analysis and machine learning libraries.
• Strong understanding of statistical methods, optimization techniques, and predictive modeling.
• Ability to apply analytical models to business use cases.
• Excellent communication and collaboration skills to understand and deliver solutions to business stakeholders.

Benefits:

• Significant career development opportunities in a fast-growing and challenging entrepreneurial environment.
• High degree of individual responsibility in the role.