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Robinhood Logo

Senior Data Scientist, Experimentation

Robinhood

$146,000 - $220,000
Sep 25, 2025
Menlo Park, CA, US
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Democratize finance for all, particularly with the largest transfer of wealth in human history, and drive a culture of data-informed innovation across Robinhood

Requirements

  • Proven expertise in data science, with a strong background in statistical analysis and machine learning
  • Strong programming skills in Python & SQL, or other relevant languages
  • Experience with data visualization tools and techniques
  • Ability to successfully implement projects and compete in a fast-paced environment
  • PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences
  • Outstanding problem-solving skills and the ability to think critically and creatively
  • Strong background in statistical analysis and machine learning

Responsibilities

  • Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
  • Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
  • Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making
  • Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
  • Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
  • Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
  • Assist with established methods, standard approaches, and promote a data-informed culture within the organization

Other

  • PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models
  • Ability to work in Menlo Park office(s), with in-person attendance expected at least 3 days per week
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • 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