Staff Data Scientist - Product

About the position

Join a leading fintech company that’s democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are 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. With growth as the top priority, the business is 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.

Responsibilities

• 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.

Requirements

• Graduate degree in a quantitative field such as Statistics, Economics, Mathematics, Finance, Engineering, or a related field.
• 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.

Nice-to-haves

• Experience in the finance industry, such as with a broker-dealer, market maker, or investment manager.
• Strong passion for trading, investing, and financial markets.
• Deep knowledge of quantitative finance modeling.

Benefits

• 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.