VP Data Scientist — Generative AI & Platforms

Archer; New York (NY); Hybride; USD 168 000 - 225 000; Plein temps

Avantages offerts par ce poste

Annual discretionary bonus

Résumé du poste

Archer is collaborating with BlackRock to connect them with exceptional professionals for this role. The AI Labs team at BlackRock seeks a data scientist to design, prototype, and deliver agentic AI solutions at scale.

You will work with a distributed team of scientists, engineers, and investment professionals to solve complex client and operational problems using Generative AI, ML, and optimization techniques.

Qualifications

• PhD in a quantitative field with 4+ years of professional experience OR
• MS degree in a quantitative field with 7+ years of professional experience in ML/AI
• Strong familiarity with Python programming
• Strong theoretical background in AI/ML, optimization, or statistics
• Experience assessing performance of ML methods and agentic systems

Responsabilités

• Deliver major projects and initiatives for AI Labs
• Translate business needs into AI/ML solutions with stakeholders
• Design and evaluate AI agents and agentic workflows on large datasets
• Prototype agentic solutions with cutting‑edge AI/ML tools and frameworks
• Build production‑grade, scalable solutions with observation, guardrails, and pipelines
• Define evaluation frameworks to measure agent quality, safety, and reliability
• Present technical work to senior leaders and publish/share findings

Connaissances

Python programming

Generative AI

Machine learning

Statistics

Optimization

Agent development

Team collaboration

Formation

PhD in quantitative field

MS in quantitative field

Outils

Python

LangGraph

Pydantic AI

OpenAI Agents SDK

Amazon Bedrock

Description du poste

Archer is collaborating with BlackRock to connect them with exceptional professionals for this role. The AI Labs team at BlackRock seeks a data scientist to design, prototype, and deliver agentic AI solutions at scale.

You will work with a distributed team of scientists, engineers, and investment professionals to solve complex client and operational problems using Generative AI, ML, and optimization techniques.