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We are seeking a hands-on Senior Data Scientist with proven experience in retail, CPG, and/or E-Commerce, who can lead the Machine Learning portion of our stack: demand forecasting, price elasticity, and pricing / promotion strategy.
About the role:
- Support the development of data-driven features for pricing and promotion strategies to improve revenue and profitability
- Build, test, and maintain analytical models for demand forecasting, price sensitivity, and promotion performance with guidance from senior team members
- Apply data science, data analysis, machine learning, and statistical techniques to help solve retail business problems such as forecasting accuracy and promotion effectiveness
- Analyze structured and unstructured retail data to identify trends, understand customer behavior, and generate actionable insights
- Collaborate with cross-functional teams to implement and scale data solutions, and communicate findings through clear analysis and visualizations
- Strong foundation in mathematics including linear algebra, probability & statistics
- Solid understanding of hypothesis testing, regression analysis, and core machine learning algorithms, with at least 2 years of hands-on experience with Python(pandas, NumPy, OOP), as well as with scikit-learn or similar machine/Deep learning open-source software libraries
- 2+ years of experience in data analysis using SQL and Python, including data extraction, data preparation, EDA, and basic statistical analysis
- 1+ years of experience in retail or CPG, with proven expertise in price elasticity modeling, demand forecasting, promotion optimization, pricing and other retail strategies
- 1+ year of experience with MLOps (Databricks, Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, or similar), and CI / CD pipelines
- 1+ year of experience in developing, integrating, delivering, and supporting AI and analytics solutions, with exposure to pricing optimization and retail analytics
- Exceptional communication and presentation skills, capable of conveying complex insights clearly and effectively to both technical and non-technical audiences
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Key Skills
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