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# Data Scientist

- **Company:** MrBeastYoutube, LLC
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Python (Programming Language), Standard Sql, Google Cloud, Snowflake, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_2de23fff0a643f8ba6171d98b7f3e293

## About the Role

* AI-Native: You're already using AI tools daily to move faster, from writing queries and building models to exploring data and communicating findings.
 * Analytical Builder: +3 years of hands-on experience in data science or analytics, with strong SQL, Python, and statistical modeling skills. You don't just analyze. You build the tooling and frameworks that make analysis repeatable and reliable.
 * Product Connected: You care about why you're analyzing something, not just how. You can translate vague product questions into tractable data problems and communicate findings clearly to non-technical stakeholders.
 * Experimentally Rigorous: You understand the principles of A/B testing, know where experiments go wrong, and hold the line on statistical rigor even under deadline pressure.
 * Strong SQL and Python skills, experience with A/B experimentation frameworks, and familiarity with at least one major cloud data stack (AWS, GCP, Databricks, Snowflake, or equivalent). Bonus points for experience in consumer products, media, gaming, or e-commerce, and prior work alongside product or engineering teams in a fast-moving environment.

Compensation: $178,000-$223,000 base + equity + benefits

## Description

* Product questions that are ambiguous, high-stakes, and time-sensitive. You need to frame them correctly before you can answer them.
 * A/B experiments where the design, statistical rigor, and interpretation directly determine what ships next.
 * A fast-moving team that moves at a pace where every analysis needs to count, and AI tools are a core part of how we get there.

What You'll Do

 * Design and execute analyses that turn raw user behavior into actionable product insights, working closely with engineers and product teams to frame the right questions.
 * Own A/B experiments end to end, from experiment design and statistical analysis through to result interpretation and recommendation.
 * Communicate findings clearly to product and engineering stakeholders, translating complex analysis into actionable recommendations that drive product decisions.
 * Leverage AI tools to accelerate your workflow, from data exploration and analysis to insight delivery and iteration.