# Data Scientist

**Company**: BlackRock
**Location**: New York
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $167,500 - $225,000
**Category**: Data Science
**Industry**: Finance
**Wikidata**: https://www.wikidata.org/wiki/Q219635

**Apply**: https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/New-York-NY/Modelling-Data-Scientist--Vice-President---AI-Labs_R265981?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f69ce61f-71b

## Description

As a data scientist at BlackRock AI Labs, you will collaborate with a distributed team of outstanding scientists, engineers, and investment professionals to develop methodologies to solve a corporate-wide set of client, investor, and operational problems.

You will be responsible for the entire solution lifecycle, from initial scoping, research and prototyping, scaled implementation, productionalization in collaboration with engineering, and clearing internal review processes.

Responsibilities:

- Be accountable for the delivery of major projects and key initiatives for AI Labs.

- Work with stakeholders to translate business needs into well-scoped AI/ML solutions.

- Design, build, and evaluate AI agents and agentic workflows on top of large, complex datasets.

- Rapidly prototype agentic solutions using cutting-edge AI/ML tools, agent frameworks, orchestration platforms, and foundation model APIs.

- Work with engineers and stakeholders to build production-grade solutions that are reliable, scalable, and operate in compliance with firm-wide processes.

- Define and maintain evaluation frameworks to measure agent quality, safety, and reliability in production.

- Present technical work clearly to senior leaders and general audiences, and promote thought leadership through white papers, publications, and presentations.

Requirements:

- PhD in a quantitative field with 4+ years of professional experience OR MS degree in a quantitative field plus 7+ years of professional experience in machine learning, artificial intelligence, or other aspects of the AI/data science and agent development process.

- Strong familiarity with Python programming.

- Strong theoretical background in and practical experience using AI, machine learning, optimization, or statistical techniques.

- Experience assessing performance of machine learning methods and agentic systems.

- Ability to work within a team environment, and to collaborate and communicate across cross-functional groups.

Additional experience we value:

- Depth in one or more research areas relevant to our work.

- Academic publications, preprints, or open-source contributions.

- Experience building and deploying AI agents and agentic workflows using open-source frameworks or comparable tools.

- Experience with retrieval systems for agents.

- Experience with machine learning libraries, cloud platforms, and the analysis of financial or economic data.

Benefits:

- Competitive salary: $167,500 - $225,000 per year

- Annual discretionary bonus

- Comprehensive healthcare

- Leave benefits

- Retirement benefits

- Tuition reimbursement

- Flexible Time Off (FTO)

## Skills

### Required
- Python
- AI
- Machine Learning
- Optimization
- Statistics

### Nice to have
- LLM reasoning
- Reinforcement Learning
- Statistical Modeling
- Quantitative Optimization
- Open-source frameworks

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Source: [Apply at blackrock.wd1.myworkdayjobs.com](https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/New-York-NY/Modelling-Data-Scientist--Vice-President---AI-Labs_R265981?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)