Senior Data Scientist, Marketing - Experimentation

Company: Robinhood
Location: Menlo Park
Posted on: July 1, 2025

Job Description:

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. About the team role Robinhood’s data science teams are embedded across the company to drive impact through data. As a Senior Data Scientist - Experimentation, you’ll lead the design and analysis of complex A/B tests and quasi-experiments, surfacing insights that directly shape user experience and business outcomes. You’ll work closely with cross-functional partners to develop thoughtful test strategies, interpret results with statistical rigor, and apply causal inference techniques when traditional testing isn’t feasible. This is a high impact role for someone who grows with solving challenging measurement problems, enjoys influencing product strategy through data, and is passionate about building a best-in-class experimentation culture. 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 Youll Do Design, implement, and analyze A/B tests and quasi-experiments to measure the impact of product and feature changes. Apply causal inference techniques when traditional experimentation is infeasible, ensuring robust and unbiased measurement of product impact. Partner with cross-functional teams—including Product, Finance, Marketing, Engineering, and Design—to develop smart test strategies and optimize decision-making. Contribute to refining experimentation standard methodologies across the company, and help elevate the experimentation culture. Collaborate with other data scientists to share knowledge, contribute to a high standard of analytical rigor, and drive a data-informed approach across teams. What you bring Graduate degree in a quantitative field such as Statistics, Economics, Mathematics, Finance, Engineering, Computer Science or a related subject area. 5 years of experience in data science, with a strong focus on experimentation and casual inference in a fast-paced, high-tech environment. Deep expertise in A/B testing, experiment design, and quasi-experimental methods (e.g. diff-in-diff, propensity score matching, synthetic controls). Strong product intuition and a collaborative mindset—you enjoy partnering closely with product, engineering, and design to drive impact. Passion for experimentation and a desire to set a higher standard for testing culture, strategy, and execution across the company. Strong proficiency in SQL and Python for data manipulation, statistical modeling, and experiment analysis. Solid understanding of statistical concepts, hypothesis testing, and measurement frameworks. Proven ability to translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders. We are committed to providing an inclusive and welcoming interview experience for all candidates. If you have any specific needs or require assistance related to a physical or mental condition, please inform us by completing our Applicant Accommodation Form. 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 We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024. 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; Bellevue, WA; Washington, DC) $187,000 - $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 - $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 - $172,000 USD

Keywords: Robinhood, Concord , Senior Data Scientist, Marketing - Experimentation, Engineering , Menlo Park, California