Staff Data Scientist - Experimentation Platform

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 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.

We are looking for an experienced data scientist to join our experimentation platform team to lead our experimentation strategy and excellence. This role requires deep domain knowledge on 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

• Shape the roadmap and experimentation best practices for teams across Robinhood
• Evaluate current experimentation practices across the organization and identify opportunities for improvement
• Improving the statistical methodology backing our experimentation platform
• Enhance our experimentation quality and velocity
• Develop best practices for experimentation capabilities across the organization
• Partner with engineering team to develop platform capabilities to 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.
• Extensive hands-on experience with experimentation and causal inference
• Solid understanding of statistical analysis and machine learning algorithms
• Excellent programming skills, including expert-level familiarity with either Python or R programming languages
• At least 6+ years of experience in statistics, design of experiments, A/B testing, causal inference
• Demonstrates strong communication, proactiveness, creativity, and prioritization skills.

Bonus points: 

• Passion for working and learning in a fast-growing company

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)$217,000—$255,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$190,000—$224,000 USDZone 3 (Lake Mary, FL)$169,000—$199,000 USD

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