Senior Data Scientist - Generative AI

About this role

Requirements

• Bachelor's degree and 5+ years of experience (or Master's degree and 3+ years) in computer science, data science, engineering, or a related quantitative field.
• Strong proficiency in Python and modern development practices for AI applications.
• Expertise in working with natural language data and building text-based products, using both classic and state-of-the-art NLP techniques (e.g. text mining, word embeddings, transformer-based models).
• Experience with LLM prompt engineering and architectural patterns for LLM systems (e.g., retrieval-augmented generation, multi-agent designs).
• Hands-on experience building tool-integrated and agent-based LLM workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.
• Experience working with cloud and data platforms such as Azure, Databricks, GCP, and Snowflake.
• Experience designing, evaluating, and supporting AI applications in production or enterprise environments.
• Experience with data governance, privacy, security, and compliance requirements.

Responsibilities

• Design, build, and deploy LLM-based applications for conversational intelligence and insight generation.
• Develop multi-step AI workflows, including retrieval, orchestration, routing, and tool-using patterns.
• Define and implement evaluation approaches for LLM applications, including response quality, reliability, safety, and value.
• Work with large-scale structured and unstructured data using modern data platforms (e.g., Spark, Databricks, Snowflake).
• Partner with engineering teams to move GenAI solutions from prototype to production.
• Write clean, maintainable code and contribute to shared development practices such as version control, documentation, and code review.
• Ensure solutions align with enterprise standards for security, privacy, compliance, and responsible AI.

Benefits

• Work within Eastern or Central Standard Time zones.
• Home or Hybrid Home/Office employment.