Staff Data Scientist, Experimentation Platform

Unchain Data; Menlo Park (CA); On-site; USD 217,000 - 255,000; Full time

Benefits offered by this job

Health insurance

Equity opportunities

401(k) matching

Performance bonus

Job summary

Robinhood is building an elite Experimentation Platform team to enable rapid, trustworthy experimentation at scale. The Staff Data Scientist will shape statistical foundations, collaborate with engineering and product teams, and drive best practices across the company.

This role requires leadership, deep statistical expertise, and a proven track record in designing robust experiments. Based in our Menlo Park office with in-person attendance expected at least 3 days per week, you will influence

Qualifications

• Master's or PhD in a quantitative field (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.

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.

Skills

A/B testing

Causal inference

Experimental design

Statistical analysis

Python

R

Education

Master's or PhD in a quantitative field

Tools

Python

R

Job description

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