Back to jobs

Staff Data Scientist

San Mateo, CA

Pay
$178,000–223,000/yearAnnual period assumed — pay source
Hybrid Model: Expected ~3 days per week in-office - San Mateo CA Compensation: $178,000 –$223,000 base + equity + benefits Benefits
Read the full posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at MrBeast

What you’ll work on

Full posting
  • Build a privacy-safe understanding of a 100M+ audience that powers product and partner decisions.

  • Lead end-to-end data science projects from problem definition through deployment and measurement.

  • Design, build, validate, and maintain statistical and machine learning models.

From the employer’s posting
Ship predictive models, experiments, and decision-support analytics that move key business KPIs. Build a privacy-safe understanding of a 100M+ audience that powers product and partner decisions. Raise the bar on experimentation and causal analysis, and bring AI tooling into the workflow where it helps.
What You'll Do Lead end-to-end data science projects from problem definition through deployment and measurement. Design, build, validate, and maintain statistical and machine learning models.
Lead end-to-end data science projects from problem definition through deployment and measurement. Design, build, validate, and maintain statistical and machine learning models. Partner with stakeholders to turn business objectives into analytical approaches and success metrics.
Education & alternatives
- Clear Communicator: You use evidence to challenge assumptions, explain complex ideas to anyone, and hold a high bar for rigor and reproducibility. Bonus points for a PhD in a quantitative field, deploying ML models to production, cloud-based analytics and ML platforms, and mentoring data scientists or leading cross-functional initiatives. Benefits

Tools in this posting

  • Python
  • SQL
  • R
Source — Tool mentions in context
- AI-Native: You're already using AI in your daily workflow to move faster from question to insight to shipped model. - Rigorous Analyst: Master's + typically 4+ years in data science or advanced analytics, with deep expertise in statistical modeling, experimentation, and machine learning, plus strong SQL and Python or R. - Business-Impact Driven: You've influenced real business decisions with data, and you measure success by adoption and outcomes, not just model metrics.

Benefits in the posting

Full benefits wording
  • Equity: Highly competitive equity package designed for a foundational hire.
  • Competitive Salary
  • Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance
  • Company contributions to employee Health Savings Accounts (HSA)
  • 401k Plan with Safe Harbor company-matching
  • Flexible vacation policy and paid company holidays
  • Company-provided technology package
  • Relocation assistance where applicable, including travel and company-provided housing for the first 90 days

From the employer’s posting.

About MrBeast

Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world.

In the employer’s words · Read in context

Posting record

Report an error
Status in our records
Live
First seen by us
Jun 19, 2026 · 118d ago
Recorded sightings
75
Last seen by us
Oct 14, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

About Us

Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations.

Staff Data Scientist

The Opportunity

We're doing an AI-first engineering rebuild for a company that already has an audience of 100M+ people. This is a zero-to-one build with no legacy constraints, so your analysis and models shape the foundation instead of explaining an old one. You're here to turn data into decisions that move the business for one of the largest audiences on the planet.

The Work

You'll apply advanced statistics, experimentation, and machine learning to hard business problems, partnering with product, engineering, operations, and business leaders to find opportunities and prove impact. That means:

  • Ship predictive models, experiments, and decision-support analytics that move key business KPIs.
  • Build a privacy-safe understanding of a 100M+ audience that powers product and partner decisions.
  • Raise the bar on experimentation and causal analysis, and bring AI tooling into the workflow where it helps.

What You'll Do

  • Lead end-to-end data science projects from problem definition through deployment and measurement.
  • Design, build, validate, and maintain statistical and machine learning models.
  • Partner with stakeholders to turn business objectives into analytical approaches and success metrics.
  • Run experimentation, causal analysis, and hypothesis testing to guide real decisions.
  • Communicate complex findings to technical and non-technical audiences through clear storytelling.
  • Build scalable analytical frameworks and reusable assets, and set data-quality standards.
  • Mentor junior data scientists and analysts, and partner with engineering to productionize models.

Who You Are

  • AI-Native: You're already using AI in your daily workflow to move faster from question to insight to shipped model.
  • Rigorous Analyst: Master's + typically 4+ years in data science or advanced analytics, with deep expertise in statistical modeling, experimentation, and machine learning, plus strong SQL and Python or R.
  • Business-Impact Driven: You've influenced real business decisions with data, and you measure success by adoption and outcomes, not just model metrics.
  • Clear Communicator: You use evidence to challenge assumptions, explain complex ideas to anyone, and hold a high bar for rigor and reproducibility.

Bonus points for a PhD in a quantitative field, deploying ML models to production, cloud-based analytics and ML platforms, and mentoring data scientists or leading cross-functional initiatives.

Benefits

  • Equity: Highly competitive equity package designed for a foundational hire.
  • Hybrid Model: Expected ~3 days per week in-office - San Mateo CA

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

Benefits

The Perks, Why Work On the MrBeast Team

We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen.

  • Competitive Salary
  • Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance 
  • Company contributions to employee Health Savings Accounts (HSA) 
  • 401k Plan with Safe Harbor company-matching
  • Flexible vacation policy and paid company holidays
  • Company-provided technology package 
  • Relocation assistance where applicable, including travel and company-provided housing for the first 90 days

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Hybrid Model: Expected ~3 days per week in-office - San Mateo CA Compensation: $178,000 –$223,000 base + equity + benefits Benefits
Location & working pattern

San Mateo, CA

- Equity: Highly competitive equity package designed for a foundational hire. - Hybrid Model: Expected ~3 days per week in-office - San Mateo CA Compensation: $178,000 –$223,000 base + equity + benefits
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.