Senior Data Scientist

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.

Primary: Bay Area (San Francisco / Peninsula)   |   Secondary: NYC

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.

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.

• →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.

• AI-Native: You're already using AI in your daily workflow to move faster from question to insight to shipped model.
• Rigorous Analyst: Typically 6+ 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 Master's or 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.