Lead Data Scientist – Forecasting

What you'll do

• Own the design and evolution of a unified forecasting architecture for demand modeling.
• Integrate internal and external data sources into scalable forecasting pipelines.
• Evaluate tradeoffs across various forecasting methods to ensure stability and usability.
• Develop scenario planning frameworks to measure business impacts of decisions.
• Implement robust MLOps practices for model deployment in cloud environments.
• Lead exploration of state-of-the-art machine learning techniques in forecasting.

What we're looking for

• 7+ years of experience in forecasting or demand modeling, preferably in retail or B2C environments.
• 3+ years of hands-on experience with data engineering/MLOps teams and ML platforms like AWS SageMaker.
• 4+ years of expertise in Python and SQL for large-scale data processing.
• Proven ability to lead multiple complex projects simultaneously in a fast-paced environment.
• Experience mentoring junior team members and setting standards for forecasting approaches and model validation.
• Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field (PhD preferred).
• Excellent communication, leadership, and presentation skills with experience working in an agile environment.