Data Scientist - Gen AI

Senior Data Scientist

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)

Regression

• Computer Vision solutions

  such as object detection/recognition, product imagery analysis

• Image-to-Text modeling

  , document intelligence, OCR, and multi-modal LLM applications

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 cross-functional teams to translate business requirements into scalable AI solutions.
• Drive model lifecycle management from research and experimentation through deployment and monitoring.
• Maintain high standards for

  model governance

  , explainability, performance, and ethical AI.
• Stay at the forefront of GenAI advancements and proactively evaluate new tools, methods, and frameworks.Qualifications

Required Skills & Qualification:

• 2-5 years of hands-on experience in Data Science or Machine Learning roles.
• Expertise in GenAI, LLMs, NLP, and deep learning architectures.
• Strong command of Python, ML frameworks (TensorFlow, PyTorch).
• Proven experience building and deploying models into production environments.
• Exceptional analytical thinking, storytelling, and stakeholder communication skills.
• Degree (Bachelors / Master s / PhD preferred) in Computer Science, Data Science, AI, Statistics, or related field.

Additional Skills :

• Experience with A/B testing, econometrics, or other statistical experimentation methods.
• Familiarity with other cloud computing platforms (e.g., Azure, GCP).
• Experience working in cross-functional teams and client-facing roles.