Senior Data Scientist – Generative AI at tiger-analytics

Setup: Remote
Location: Chicago, Illinois
Type: Full-time
Level: senior
Posted: May 26, 2026

Description

Tiger Analytics is hiring a Senior Data Scientist specializing in Generative AI and advanced analytics consulting. The role involves translating client business problems into scalable analytical solutions, designing and deploying machine learning and GenAI systems using Databricks and Azure AI services, building LLM-powered and agentic workflows with LangGraph, implementing Document Intelligence, and presenting insights to business and senior-management audiences. Candidates need 8–10 years of professional experience, including at least five years in data science, strong Python and SQL skills, experience with retail and supply-chain use cases, production ML pipelines, model lifecycle management, modern generative AI methods, and a bachelor's degree in Business Analytics or equivalent experience.

Required Skills

Generative AI
LangGraph
Python
SQL
MLflow
Prompt engineering
RAG
Transformers
HuggingFace
Deep learning
ML pipelines
Model governance
Supply chain analytics
AI red-teaming

Additional Information

Minimum Education: Bachelor's degree in Business Analytics or equivalent work experience
Required Previous Experiences: 8–10 years of professional experience, including at least 5 years in data science
Experience with retail and supply-chain problems such as logistics, distribution networks, or demand planning
Experience building and deploying end-to-end machine-learning pipelines in production
Preferred Qualifications: Experience with Bedrock, JumpStart, and HuggingFace
Experience evaluating AI ethics and conducting red-teaming
Ability to design scalable and reliable AI systems
Cross-functional collaboration with IT and data engineering teams
Senior-management presentations and business communication