Data Scientist with Generative AI

Job Description

Job Description

Data Scientist with Generative AI
Chicago, IL

Duration: 6 months
Chicago, IL

Must Have Technical/Functional Skills

" 7 years of relevant experience in data science, analytics, machine learning, or AI.

" Expertise in statistical modeling, machine learning, generative AI, agentic AI, and natural language

processing.

" Strong knowledge of LLMs, prompt engineering, RAG, autonomous decision-making frameworks, and human-

in-the-loop workflows.

" Programming expertise in Python, R, SQL, SAS, or similar analytical tools, with cloud-based or distributed

platforms such as Databricks.

" Experience with vector databases, semantic search, knowledge graphs, metadata management, enterprise

search, and production AI deployment and monitoring.

Roles & Responsibilities

Design and implement advanced machine learning, generative AI, and agentic AI solutions across structured and unstructured data. Build and deploy scalable, automated data science products and reusable analytical assets. Design agentic AI architectures using LLMs, retrieval systems, structured data, APIs, tools, business rules, routing, and approval checkpoints. Optimize RAG solutions and develop evaluation frameworks covering accuracy, reliability, hallucination risk, latency, cost, safety, and consistency. Partner with engineering, platform, business, stakeholders, and clients to deploy, monitor, maintain, and communicate production-ready AI solutions.

Generic Managerial Skills, If any

" Lead complex analytics initiatives and provide technical guidance.

" Mentor data scientists and lead code reviews.

" Make analytical and architectural decisions and establish technical standards.

" Communicate complex analytical findings to technical and non-technical audiences.

" Collaborate with stakeholders and clients across strategic, operational, and clinical objectives.

Key Words to search in Resume

" AI Engineer; Data Scientist; machine learning; statistical modeling; natural language processing.

" Generative AI; Agentic AI; LLM; prompt engineering; RAG; autonomous decision-making; human-in-the-loop.

" Python; R; SQL; SAS; Databricks; distributed computing; cloud data platforms.

" Vector database; semantic search; knowledge graph; metadata management; enterprise search.

" Responsible AI; model governance; explainability; bias detection; hallucination evaluation; production AI

monitoring.

Role Descriptions: Data Scientist with Generative AI|Agentic AI|Natural Language Processing (NLP)|Large Language Models (LLMs)|Data Science|Machine Learning (ML)
Essential Skills: Data Scientist with Generative AI|Agentic AI|Natural Language Processing (NLP)|Large Language Models (LLMs)|Data Science|Machine Learning (ML)
Desirable Skills:
Keyword:
Skills: Digital : Data Science~Digital : Natural Language Processing (NLP)~AI & Gen AI - Products & Tools
Experience Required: 6-8