We are seeking a highly skilled Senior Data Scientist with deep expertise in Generative AI to design, develop, and deploy innovative AI solutions that drive measurable business impact. This role requires a combination of strong data science fundamentals, hands-on experience with LLMs, NLP, and generative modeling, and a proven ability to build scalable, production-ready systems.
As a key member of our Data Science & AI team, you will spearhead the development of advanced analytics and GenAI-driven solutions across multiple business functions, including:
- Product Assortment and Pricing Optimization
- Supply Chain Optimization
- Demand Forecasting
- Propensity, Loyalty & Customer Segmentation Models
- Recommendation Engines & Personalization
- Marketing Mix Modeling (MMM) & Media Investment Optimization (MIO)
You will leverage a broad toolkit regression, Bayesian methods, Classification, Time Series forecasting, and modern Machine Learning and Deep Learning techniques鈥攚hile integrating with emerging Generative AI capabilities to enhance decision intelligence, accelerate experimentation, and unlock new value.
Key Responsibilities:
- Architect, train, and deploy generative AI models, including large language models (LLMs) and transformer-based systems.
- Develop robust predictive and optimization models using structured and unstructured data sources.
- Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
- Partner with crossfunctional teams to translate business requirements into scalable AI solutions.
- Drive model lifecycle management from research and experimentation through deployment and monitoring.
- Champion best practices in MLOps, automation, explainability, and model governance.
- Stay at the forefront of GenAI advancements and proactively evaluate new tools, methods, and frameworks.