Description

You will design, develop, and deploy Gen AI solutions, including LLM fine-tuning, RAG pipelines, and agentic workflows, while leading end-to-end data science initiatives from research through production.

This role is on-site.

Responsibilities

• Design and deploy Gen AI solutions, integrating LLM fine-tuning, prompt engineering, and RAG pipelines into existing measurement and science workflows.
• Lead end-to-end development and scaling of data science solutions, ensuring robust, reproducible, and maintainable production systems.
• Partner with product managers to translate business needs into science solutions, shaping the roadmap for personalization and loyalty capabilities.
• Apply causal ML and econometric methods (CATE, DiD, matching) to support measurement, experimentation, and personalization at scale.
• Build and maintain production ML and experimentation pipelines using MLOps best practices, CI/CD, and software engineering standards.

Required Skills

• 5+ years of applied data science or engineering experience with demonstrated progression in scope and technical complexity.
• Strong proficiency in Python, SQL, and Git.
• Hands-on experience with Generative AI applications, including LLM fine-tuning, prompt engineering, RAG pipelines, or agentic workflow development.
• Experience with Azure and Databricks, or comparable cloud-based data science platforms.
• Familiarity with causal ML and/or causal inference methods (e.g., CATE, heterogeneous treatment effect modeling, DiD, matching).
• Experience contributing to production-quality ML systems using software engineering best practices.
• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Applied Math, Economics, or a related quantitative field.

Preferred Skills

• Experience with MLOps practices including workflow orchestration, model monitoring, reproducibility, and deployment.
• Experience in retail, CPG, media, or marketplace analytics.
• Familiarity with experimentation frameworks and measurement pipelines.

Key Skills

Education

Bachelor's or Master's degrees