Senior Data Scientist, Experimentation

About the team + role

Insights from data power most decisions at Robinhood. Data Scientist here works with other data scientists and engineers to collect, organize, and analyze data from all parts of our business to power these decisions.

Every decision made at Robinhood is backed by data. Our company trajectory is defined by the systems, tools, and analytics powered by our exceptional team. We integrate multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to perfect our processes and workflows.a

We are seeking an experienced data scientist to join our Experimentation Platform Team. In this role, you will be responsible for strengthening our experimentation strategy and driving excellence in our experimentation processes. This position requires deep domain knowledge in experimental design and statistical methodology. Prior experience in developing experimentation tooling capabilities is preferred.

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

• Evaluate current experimentation practices across the organization and identify opportunities for improvement
• Improve the statistical methodologies underpinning our experimentation platform
• Enhance the quality and velocity of our experimentation capabilities
• Develop best practices for experimentation across the organization
• Contribute to the roadmap by helping to define and prioritize future initiatives
• Partner with the engineering team to develop platform capabilities that support a culture of experimentation and data-driven decision-making
• Consult with data science and engineering teams to provide guidance on statistically valid approaches to problems

What you bring

• PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences.
• At least 2+ years of experience in statistics, design of experiments, A/B testing, causal inference; prior experience in building or significantly contributing to an experimentation platform is a plus
• Deep understanding of statistical methodologies, including A/B testing, multivariate testing, adaptive experimentation techniques and machine learning algorithms
• Excellent programming skills, including expert-level familiarity with either Python or R programming languages
• Demonstrates strong communication, proactiveness, creativity, and prioritization skills.

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