Get introduced to vetted companies that are still hiring

Create a profile to become searchable by hiring managers.


Senior Data Scientist, Product Brokerage



Product, Data Science
Menlo Park, CA, USA · New York, NY, USA
Posted on Thursday, November 9, 2023

Join a leading fintech company that’s democratizing finance for all.

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

As we continue to build...

We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.

About the team + role

Insights from data power many decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by this exceptional data science team. As a senior product data scientist, you will play a critical role in optimizing and enhancing the product’s performance by harnessing data and analytics to drive informed decision-making and innovations.

Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team. As a member of this cross-functional group, you will collaborate closely with partners in product, engineering, user research, design, marketing, finance and compliance to unlock the potential of our data and shape the future of the brokerage products.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do

  • Initiate and execute large analysis projects to deepen understanding of customers, uncover product improvement opportunities, provide actionable recommendations, and drive impact for our business.
  • Develop and maintain machine learning models and statistical models to enhance the product’s performance and user experience.
  • Design, plan, execute and analyze experiments to evaluate the impact of product changes. Develop experiment design and experiment analysis frameworks.
  • Define metrics system to measure product performance. Build dashboards and reports to understand and monitor these metrics. Iteratively improve the metrics and the dashboard system.
  • Create data visualizations and reports, synthesize data insights to compelling stories, to effectively communicate them to cross-function partners, stakeholders, and senior executives.
  • Design, develop and maintain data pipelines with outstanding craftsmanship.
  • Mentor others as needed to uplift the team’s capacity, and to democratize data knowledge and data insights within the company

What you bring

  • Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering, computer science, etc..
  • 3+ years of demonstrated experience working in product analytics or product data science.
  • Track record of initiating, and executing large / complex deep dive projects.
  • Track record of developing data insights that generates business impact.
  • Solid understanding of statistics. Practical experience in AB testing and causal inference.
  • Solid understanding of ML algorithms. Practical experience in applying ML to uncover valuable insights, to improve user experience and product performance.
  • Expert level SQL, Python skills.
  • Excellent data visualization skills and data storytelling skills.
  • Experience in product data science in a dynamic, innovative, and fast-paced high tech environment.

What we offer

  • Market competitive and pay equity-focused compensation structure
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Annual lifestyle wallet for personal wellness, learning and development, and more!
  • Lifetime maximum benefit for family forming and fertility benefits
  • Dedicated mental health support for employees and eligible dependents
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more!
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan.

US Zone 1: $187000 - $220000
US Zone 2: $165000 - $194000
US Zone 3: $146000 - $172000

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. You can view comp zones for our US office locations in the table below. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Office locations (by comp zone)
US Zone 1: Menlo Park, CA; New York, NY; Seattle, WA; Washington, D.C.
US Zone 2: Denver, CO; Westlake (Dallas), TX; Chicago, IL
US Zone 3: Lake Mary, FL

Click here to learn more about Robinhood’s Benefits.

Robinhood promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review Robinhood's Privacy Policy please visit Robinhood - US Applicant Privacy Policy. If you are an applicant located in the UK or EEA, please visit the Robinhood - UK/EEA Applicant Privacy Policy.