Data Science Lead

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 You Tube. 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.

Location:

Primary – Bay Area (San Francisco / Peninsula);
Secondary – New York City.

We're building an AI‑first data foundation for a company with an audience of 100M+ people. This is a zero‑to‑one project with no legacy constraints. You'll create AI‑facilitated analysis processes and tooling that unlock super‑fast feature iteration, and architect a large‑scale data pipeline that supports real‑time telemetry, long‑term metric monitoring, and A/B experimentation at scale.

As the senior technical anchor for data science, you will own the entire journey from business question to data analysis to product insight that drives decisions. Your work will span consumer products, media, game, and e‑commerce analytics, all built on a fast‑growing user base.

Key responsibilities include:

• Build data analysis mechanisms that turn raw user behavior into actionable product insights, powering decisions on what to build, what to fix, and where the biggest opportunities lie.
• Architect and own the data platform end to end: the full tech stack covering data collection, processing, and visualization that makes reliable, real‑time analytics possible at scale.
• Leverage AI to accelerate the productivity of the data science team, embedding AI‑facilitated tooling and workflows that enable faster product iteration and shorter feedback loops.

• Set and enforce the data standards for product launches: validation, reproducibility, experimentation, and monitoring frameworks that every team relies on before and after shipping.
• Own the A/B experimentation framework end to end, from experiment design and statistical rigor through to result interpretation and product decision‑making.
• Own the engineering and operation of the data pipeline, ensuring the right data freshness, coverage, and observability to support product and business decisions at scale.
• Guide the technical work of data scientists and engineers through design review, pairing, and mentorship, growing the team's capabilities alongside the product.

• AI‑Native: You’re already burning through tokens and using AI tools daily to accelerate your data science workflow, from analysis to insight to decision.
• Data Science Builder: 8+ years designing, building, and operating data science systems in production, with deep expertise in statistical modeling, experimentation design, and data pipeline engineering.
• End‑to‑End Owner: You’ve owned the full journey from business question through data collection, analysis, and insight delivery, and you’re accountable for the quality and impact of the output, not just the methodology.
• Honest Communicator: You frame problems as testable hypotheses, hold the line on validation rigor under deadline pressure, and communicate uncertainty honestly instead of overselling.

Strong data science practice: reproducible pipelines, rigorous experimentation frameworks, production‑quality code, and a track record of turning data into decisions that measurably improved product or engineering quality. Bonus points for experience with AI‑assisted data science tools and processes, and domain exposure in consumer products, media, or gaming.

• Equity: Highly competitive equity package designed for a foundational hire.
• Hybrid Model: Expected ~3 days per week in‑office (Bay Area or NYC).

• 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

As set forth in MrBeast’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.