Senior Data Scientist, Analytics - Brokerage

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.

Do you have the skills to fill this role Read the complete details below, and make your application today.

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.

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 generate 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.

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