Senior Data Scientist, Experimentation

Robinhood

Menlo Park, CA • 15m ago • On-site

Senior

On-site

187,000 - 220,000 USD/yr

  1. Select offer
  2. Add resume
  3. Analyze
  4. Improve
  5. Apply
  6. Auto-send · soon

Match your resume with similar open roles

Upload your resume to automatically match with active openings similar to this role.

PDF up to 10 MB

Your resume is private & secure

Resume Checker & Builder preview

Potential salary for Senior Data Scientist, Experimentation role

Improve your resume now

$187,000 – $220,000/year

Quick Facts

  • Role: Senior Data Scientist on the Experimentation Platform team
  • Focus: Statistical foundations and infrastructure for experimentation at scale
  • Location: Menlo Park, CA (in-person at least 3 days/week)

Description

Design and strengthen the statistical methodologies that power the experimentation platform, enabling teams to run rapid, trustworthy, statistically sound experiments. Collaborate with engineering, product, and data teams to improve experiment velocity, build experimentation capabilities, and integrate AI-powered workflow automation. Act as a trusted statistical partner and help define how the organization learns and iterates across products.

Responsibilities

  • Enhance statistical methodologies for A/B testing and advanced experimentation techniques
  • Evaluate current experimentation practices and identify improvement opportunities
  • Partner with engineering to build scalable experimentation tools and infrastructure
  • Identify and drive AI-powered capabilities to automate workflows and improve decision-making
  • Develop and champion experimentation best practices with statistical rigor
  • Provide guidance on complex experimental designs and causal inference challenges
  • Shape the experimentation platform roadmap from concept through implementation and adoption

Requirements

  • Master’s or PhD in a quantitative field (statistics, economics, mathematics, engineering, or natural sciences)
  • 3+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment
  • Deep expertise in multivariate testing, adaptive experimentation, Bayesian inference, and machine learning techniques
  • Proficiency in Python or R for experimentation workflows and data analysis
  • Experience partnering with engineering and product teams to deliver production-ready platform capabilities
  • Strong communication skills to explain complex statistical concepts to technical and non-technical stakeholders

Benefits

  • Performance-driven compensation with multipliers, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Access to employee fund for investment exposure to Robinhood Ventures funds
  • Access to top AI tools and continuous AI skill-building
  • Flexible spending account (Lifestyle wallet) for wellness and learning
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Paid time off, sick time, parental leave, and company holidays
  • Exceptional office experience with catered meals, events, and comfortable workspaces
  • Bonus opportunities, equity, and benefits in addition to base pay (varies by region)

See similar jobs

Explore similar jobs and use your resume score to choose where to apply next

See more

Unlock Full Resume Report