Principal Data Scientist - CX

What you'll do

• Design and develop predictive models, generative AI applications, and agentic workflows integrated with enterprise data, APIs, and production systems.
• Partner with product, engineering, architecture, and business teams to turn customer and operational problems into scalable AI capabilities; guide evaluation, monitoring, and improvement.
• Provide technical leadership through mentoring, reusable AI capabilities, recruiting support, and development of data science practices.

What they ask for

• 10+ years of experience in data science, machine learning, artificial intelligence, or advanced analytics.
• Expert-level proficiency in Python and strong experience with modern data science and machine learning libraries and frameworks.
• Advanced proficiency in SQL and experience with large-scale cloud data platforms such as Google BigQuery or equivalent technologies.
• Must be legally permitted to work in the United States.

Nice to have

• Strong expertise in Generative AI and Large Language Models (LLMs), including prompt engineering, embeddings, and retrieval-augmented generation (RAG).
• Experience designing agentic AI systems and multi-step AI workflows, including tool/function calling, reasoning and planning, and orchestration.

Tools

Python, SQL, Google BigQuery, Generative AI, Large Language Models (LLMs), retrieval-augmented generation (RAG), APIs

AI focus

Develops AI-powered customer support and agentic workflows that understand customer intent, reason across enterprise data and tools, take actions, and improve self-service resolution. Involves generative AI, LLMs, predictive models, evaluation, and production deployment.