Senior AI Data Scientist

Location: Remote - USA, Europe, Israel

Compensation: $130K - $150K

We are hiring on behalf of our client, a leading financial technology firm building the infrastructure for safer, more accessible global markets. Their risk‑management systems, oracles, and AI models secure hundreds of billions in assets and process trillions in transaction volume across major protocols. They recently launched a cutting‑edge financial intelligence platform that transforms complex market data into actionable insights, bringing institutional‑grade intelligence to a global audience.

They are seeking a Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind their financial intelligence platform. This role sits at the intersection of LLMs, financial data, and decision systems. You will own the logic behind how their models reason over data, how agents coordinate and make decisions, and how they rigorously measure quality, correctness, and risk in production AI workflows. You'll work closely with product, engineering, and research teams to move from experimentation to reliable, scalable AI systems that operate under real‑world financial constraints.

Key Responsibilities

• 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits

• Competitive compensation and equity package aligned with growth and merit.
• 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 benefits.

Commitment to Equality and Accessibility

We are committed to offer equal opportunities to all candidates. We ensure no discrimination, provide accessible job adverts, and offer information in accessible formats. If you need any reasonable adjustments during any part of the hiring process or would like to see the job‑advert in an accessible format, please let us know at the earliest opportunity by emailing

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