Remote Data Scientist - Demand Forecasting

Description:

• Tiger Analytics is seeking a Data Scientist specializing in Demand Forecasting for Retail and/or CPG industries.
• Responsibilities include applying data science to solve supply chain and optimization challenges, analyzing large datasets, developing demand forecasting models, and collaborating with cross-functional teams.
• The role involves staying updated on industry trends, coaching a team of Data Scientists, and driving innovation within the organization.

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 related fields.
• Proficiency in statistical methods, optimization techniques, and predictive modeling.
• Strong coding skills in Python, Pyspark, and SQL, along with experience in data analysis and machine learning libraries.
• Ability to apply analytical models to business use cases and excellent communication skills for interacting with business stakeholders.

Benefits:

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