Staff Data Scientist - Experimentation Platform
Robinhood
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.
Robinhood has a primary in-office working environment; please be sure you have reviewed the preferred working location(s) for this role before applying.
About the 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.
What you’ll do day-to-day:
- 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
About you:
- Holds a PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences.
- Familiarity 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
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. You can view comp zones for our US office locations in the table below. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Office locations (by comp zone)
US Zone 1: Menlo Park, NYC, Seattle, Washington DC
US Zone 2: Denver, Westlake (Dallas), Chicago
US Zone 3: Lake Mary
Click here to learn more about Robinhood’s Benefits.
Robinhood promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review Robinhood's Privacy Policy please visit Robinhood - US Applicant Privacy Policy. If you are an applicant located in the UK or EEA, please visit the Robinhood - UK/EEA Applicant Privacy Policy.