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. 5+ years of demonstrated experience working in product analytics or 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 inferenc 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  

　　

 

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. 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. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

　　Zone 1 (Menlo Park, CA; New York, NY; Seattle, WA; Washington, DC)

　　$187,000—$220,000 USD

　　Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

　　$165,000—$194,000 USD

　　Zone 3 (Lake Mary, FL)

　　$146,000—$172,000 USD

　　Click here to learn more about Robinhood’s Benefits.

　　We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

　　Robinhood embraces a diversity of backgrounds and experiences 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 review the specific policy applicable to your region: Canada Applicant Privacy Policy / UK/EEA Applicant Privacy Policy / US Applicant Privacy Policy