Senior Data Scientist - LLM & NLP

Overview

On Site
Hybrid
Depends on Experience
Full Time
Accepts corp to corp applications

Skills

LLM
Python
NLP

Job Details

Role Overview:
We are seeking a Senior Data Scientist with deep expertise in Large Language Models (LLMs), particularly using OpenAI APIs on Azure, and strong Python skills. The ideal candidate will have a solid background in Natural Language Processing (NLP) and Conversational AI, with hands-on experience in Responsible AI & compliance, and data analysis.

Must-Have Skills:

Expertise in LLMs
Advanced Python for AI workflow integration and optimization
Experience developing AI agents using function calling to interact with external tools/databases
Understanding of Responsible AI & compliance best practices
Background in NLP and Conversational AI development

Nice to Have:

Experience with A/B testing and experimentation
Knowledge of hallucination prevention techniques
Ability to define and implement chatbot testing strategies
Proficiency in exploratory data analysis (EDA)
Experience creating data requirements for data engineering teams
Understanding of cloud services (hands-on or requirements specification)
Nature of Work:
The candidate will collaborate with product, analytics, and engineering teams to build and optimize a shopping assistant chatbot. Responsibilities include prompt engineering, implementing LLM-based agents, ensuring reliability and hallucination prevention, working with A/B testing frameworks, applying Responsible AI principles, conducting EDA, and guiding cloud engineering teams on infrastructure needs.

Tech Stack:

LLMs: OpenAI APIs on Azure
Languages: Python
Key Tools & Methods: Function Calling, Prompt Engineering, Hallucination Prevention, Responsible AI & Compliance, A/B Testing, Data Analysis

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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