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About
Support the development of features to improve revenue and profitability through pricing and promotion strategies Build and maintain analytical models for demand forecasting and promotion performance Analyze structured and unstructured retail data to identify trends and generate actionable insights
Required qualifications
Strong foundation in mathematics, including linear algebra, probability, and statistics At least 2 years of hands-on experience with Python (pandas, NumPy) and machine learning libraries like scikit-learn 2+ years of experience in data analysis using SQL and Python, including data extraction and preparation 1+ years of experience in retail or CPG, focusing on price elasticity modeling and demand forecasting Experience with MLOps tools and CI/CD pipelines
Languages
- English
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