Description

Design and develop advanced data science models to support customer personalization, loyalty initiatives, and Gen AI capabilities.

This role is on-site.

Responsibilities

• Apply statistical science, causal inference, and AI techniques to generate actionable insights from customer data.
• Lead end-to-end development of machine learning systems, ensuring production-quality deployment and monitoring.
• Collaborate with product managers and stakeholders to translate business needs into scalable science solutions.
• Evolve Gen AI and causal ML capabilities within the organization.

Required Skills

• 5+ years of applied data science experience, focusing on customer analytics.
• Hands-on experience with Generative AI applications, including fine-tuning LLMs, prompt engineering, or RAG pipelines.
• Familiarity with causal ML and inference methods such as CATE, DiD, or matching techniques.
• Proficiency in Python, SQL, and Git.
• Experience using Azure, Databricks, or similar cloud platforms.
• Strong communication skills to bridge technical and business audiences.

Key Skills

Education

Any Graduate