Remote Data Scientist - Demand Forecasting

Description:

• Tiger Analytics is seeking a Data Scientist specializing in Demand Forecasting for the Retail and/or CPG industry.
• The role involves applying data science techniques to optimize replenishment strategies and resource allocation within supply chains.
• Responsibilities include developing demand forecasting models to enhance inventory management and optimize resource allocation.
• The Data Scientist will collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• The position also involves staying updated on industry trends and best practices to drive innovation within the organization.
• The successful candidate will work alongside a team of experienced Data Scientists to collaborate, coach, and learn.

Requirements:

• Minimum 4 years of experience as a Data Scientist, focusing on Demand Forecasting and inventory allocation.
• Bachelor's or Master's degree in Computer Science, Statistics, Operations Research, or a related field.
• Proficiency in statistical methods, optimization techniques, and predictive modeling concepts.
• Strong coding skills in Python, Pyspark, and SQL, with experience in data analysis and machine learning libraries.
• Ability to apply analytical models to business use cases effectively.
• Excellent communication and collaboration skills to understand business needs and deliver solutions to stakeholders.

Benefits:

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