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Staff Data Scientist, Experimentation PlatformUnchain Data • Menlo Park, California, United States
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Staff Data Scientist, Experimentation Platform

Unchain Data
  • US
    Menlo Park, California, United States
  • US
    Menlo Park, California, United States
Jetzt Bewerben

Über

About Us Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Role The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, empowering teams to learn quickly and make confident decisions. The team's work has a direct impact on product velocity and business outcomes, driving a culture of data-informed innovation across Robinhood. As a Staff Data Scientist on the Experimentation Platform team, you will play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data teams to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. This is a high-impact role with the opportunity to define how we learn and iterate across our products. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week. Responsibilities Evaluate current experimentation practices across Robinhood and identify areas for improvement. Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques. Partner with engineering to build scalable tools and infrastructure for experimentation. Develop and evangelize best practices for experimentation across cross-functional teams. Consult with data science and product teams to ensure rigorous experimental design and interpretation. Contribute to roadmap planning by identifying high-leverage opportunities for platform development. Requirements Master's or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences). 6+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment. Deep expertise in statistical methods such as multivariate testing, adaptive experimentation, bayesian inference and machine learning techniques. Proficiency in Python or R for data analysis and experimentation workflows. Strong communication skills, a collaborative mindset, and a proactive approach to problem-solving. Nice to Have Experience contributing to or building experimentation tooling. Benefits Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life and disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more Exceptional office experience with catered meals, events, and comfortable workspaces Compensation In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and 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 base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. 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) $217,000—$255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000—$224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000—$199,000 USD
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  • Menlo Park, California, United States

Sprachkenntnisse

  • English
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