Staff Data Scientist

About the team + role

Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products.

As a Staff Data Scientist on the Brokerage Data Science team, you'll be part of a high-impact, cross-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver exceptional value to our customers.

We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users.

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

• Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
• Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
• Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and inform decision-making.
• Create compelling data visualizations and narratives to effectively communicate insights and recommendations to cross-functional partners, stakeholders, and senior leadership.
• Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
• Partner closely with Product, Engineering, Operations, and other cross-functional teams to integrate data-driven decision-making into product and business processes.
• Mentor other data scientists, contribute to standard methodologies, and help foster a data-informed culture across the organization.

What you bring 

• Graduate degree in a quantitative field such as Statistics, Economics, Mathematics, Finance, Engineering, or a related field, with 5+ years of experience in product data science within a fast-paced, high-tech environment.
• Proven track record of initiating and executing large, complex deep-dive analyses that uncover insights and drive business impact. Strong product sense and ownership, with experience influencing cross-functional partners and shaping the product roadmap through data-driven insights.
• Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL, python or Spark. Solid understanding of statistics. Practical experience in AB testing and causal inference.
• Bonus points: Experience in the finance industry, such as with a broker-dealer, market maker, or investment manager, with a strong passion for trading, investing, and financial markets, or deep knowledge of quantitative finance modeling.

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