Data Scientist, Associate – AI Labs

Published
June 10, 2021
Location
Palo Alto, CA
Category
Job Type

Description

Description

About this role

The AI Labs team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project / product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions, user behavior logs, imagery, and real-time data.

AI Labs has offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with world-class expertise in machine learning, statistics, optimization and stochastic control. These advisors include Emanuel Candes, Trevor Hastie, Robert Tibshirani, and Mykel Kochenderfer who dedicate time in our Palo Alto office and provide advice and mentorship for all members of the distributed team.

As Data Scientist you will:

  • Build new optimization based products, and evaluate and improve BlackRock’s products.
  • You will work with a multi-discipline, multi-region team of outstanding data scientists, engineers, and investment professionals on a corporate-wide set of client, investor, and operational problems. This can include problems in a multitude of areas including but not limited to: portfolio construction, retirement planning, tax-aware transitions, and bond index tracking.
  • Work closely with data engineering and infrastructure to build out end to end solutions.
  • Work on complex problems in optimization. Frame the problem so the optimization is tractable while still meeting the core application needs.
  • In conjunction with the team, conduct end to end analysis that consists of information gathering, requirements specification, processing, analysis, algorithms, builds, ongoing results, and presentations for specific projects. This will include but not be limited to fitting optimization models such as Markowitz portfolio construction, index tracking, or Merton style financial planning problems.

What you will need:

  • Background in basic mathematical and optimization principles such as linear algebra, gradient based optimization algorithms, and convex optimization.
  • Familiarity with tools such as Python, R, Julia or MATLAB
  • MS degree or PhD in a quantitative field (computer science, mathematics, statistics, economics, physics, engineering or related field)
  • Experience applying optimization to real world problems, such as in robotics, portfolio construction, or machine learning.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit careers.blackrock.comwww.blackrock.com/corporate | Instagram: @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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