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Senior Data Scientist, Experimentation

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Robinhood

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Location:
United States , Menlo Park

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

187000.00 - 220000.00 USD / Year
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Job Description:

Join us in building the future of finance. Our mission is to democratize finance for all. 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. As a 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.

Job Responsibility:

  • 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)
  • 3+ 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 is a plus

What we offer:
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 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 & 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

Additional Information:

Job Posted:
December 11, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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