Senior AI Data Scientist

Role Overview

• Lead the design, evaluation, and evolution of the agentic systems behind the financial intelligence platform.
• Design and own single and multi-agent systems that reason, plan, and act over complex financial workflows.
• Define agent behavior, memory, and tool-use strategies with a strong emphasis on correctness and controllability.
• Develop and maintain LLM evaluation frameworks covering accuracy, faithfulness, latency, cost, regressions, and edge cases.
• Design structured prompting, schemas, and tool-calling strategies; build and operate MCP servers including schema design and safety boundaries.
• Analyze model behavior and failure modes to turn qualitative issues into measurable signals; optimize performance and cost across workflows.
• Mentor engineers and data scientists, setting best practices for applied LLM and agentic systems.

Requirements

• 6+ years in data science, applied ML, or AI-focused software roles, with at least 3+ years building production AI/ML systems (beyond the experimentation phase).
• Deep hands-on experience with LLMs, agentic patterns, and tool-calling systems.
• Strong Python skills and comfort working closely with production systems and APIs.
• Proven experience with RAG pipelines, embeddings, and vector databases.
• Strong intuition for model behavior, trade-offs, and failure analysis.
• Experience applying ML or statistical methods to financial data (crypto/DeFi is a major plus).
• A track record of building reusable ML or data abstractions that improve team velocity.
• A strong intuition for how model behavior shifts in production based on data, users, and constraints.

Tech Stack

• Python

Benefits

• Competitive package aligned with growth and merit. Salary range: $130,000 – $150,000 (commensurate with experience).
• 100% employer-paid medical, dental, and vision options for you and your dependents, plus FSA/HSA options.
• 21 vacation days, 7 sick days, and 8 observed U.S. company holidays.
• Thoughtful parental leave policy.
• Access to OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP).
• Personalized professional development in a rapidly expanding global company.
• Pre-tax commuter programs.