About this role

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how developers write software.
Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions.
Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows.
Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more.
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs).

A Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

health, financial and other benefits
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Manager, Data Science – GenAI Digital Assistant

Key skills