Senior AI Scientist – Business Intelligence

About the role

The team is in the middle of extending these experiences with AI: conversational reporting through Omni, self-serve report building, and agentic development practices that let us build faster on a codebase spanning years of financial logic.

What you'll do

• Own delivery of end-to-end AI/ML solutions for BI surfaces, spanning modeling, evaluation, and production integration
• Select appropriate algorithms and approaches for financial and reporting problems, explain trade-offs, and identify common failure modes such as hallucination, bias
• Design AI-native features that balance latency, cost, and quality, including features embedded in agentic pipelines such as Omni conversational BI
• Track emerging research and apply novel ML methods, including causal inference, time-series forecasting, and NLP/LLMs
• Use AI agents as part of your own science workflow, including experiment orchestration, hyperparameter search, and simulation-based validation

What you need

• Machine learning
• LLMs
• ETL
• Statistics
• NLP
• Financial statements

Good to have

• SQL
• Python
• Spark
• Compensation and benefits
• Linux
• Hive