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About the Role

We are undertaking an AI-first engineering rebuild for a company with an audience exceeding 100 million people. This is a zero-to-one build without legacy constraints, allowing your analysis and models to establish the foundation. Your role is to transform data into business-driving decisions for one of the largest audiences globally.

Responsibilities

• Ship predictive models, experiments, and decision-support analytics to improve key business KPIs.
• Develop a privacy-safe understanding of a 100M+ audience to inform product and partner decisions.
• Enhance experimentation and causal analysis practices, integrating AI tooling where beneficial.
• 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 translate business objectives into analytical approaches and success metrics.
• Conduct experimentation, causal analysis, and hypothesis testing to guide critical decisions.
• Communicate complex findings to technical and non-technical audiences through clear storytelling.
• Build scalable analytical frameworks and reusable assets, and establish data-quality standards.
• Mentor junior data scientists and analysts, and collaborate with engineering to productionize models.

Requirements

• Utilize AI in daily workflow for rapid insight generation and model deployment.
• 6+ years in data science or advanced analytics.
• Deep expertise in statistical modeling, experimentation, and machine learning.
• Strong proficiency in SQL, Python, or R.
• Influence business decisions with data, measuring success by adoption and outcomes.
• Communicate complex ideas clearly, challenge assumptions with evidence, and ensure rigor and reproducibility.
• Master's or PhD in a quantitative field (preferred).
• Experience deploying ML models to production (preferred).
• Experience with cloud-based analytics and ML platforms (preferred).
• Experience mentoring data scientists or leading cross-functional initiatives (preferred).

Skills

• Statistical modeling
• Experimentation
• Machine learning
• SQL
• Python
• R
• Causal analysis
• Hypothesis testing
• Data quality management
• Analytical framework development
• Data storytelling
• AI tooling integration
• Predictive modeling
• Decision-support analytics

Location

• Bay Area (San Francisco / Peninsula)
• NYC

Work Type

• Hybrid

Experience Level

• 6+ years in data science or advanced analytics

Education Level

• Master's degree in a quantitative field (preferred)
• PhD in a quantitative field (preferred)

Salary/Compensations

• Competitive Salary
• Highly competitive equity package

Benefits

• Highly competitive equity package
• Hybrid work model
• Generous Medical (Blue Cross Blue Shield)
• Dental coverage
• Vision coverage
• Company-paid Life Insurance
• Company contributions to employee Health Savings Accounts (HSA)
• 401k Plan with Safe Harbor company-matching
• Flexible vacation policy
• Paid company holidays
• Company-provided technology package
• Relocation assistance where applicable
• Company-provided housing for the first 90 days (for relocation)

About the Company

• Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson (MrBeast).
• Renowned for revolutionizing digital content creation.
• Encompasses a diverse portfolio of ventures including digital media, philanthropy, consumer products, and innovative business initiatives.
• Mission to entertain, inspire, and create significant social impact.
• Believes in the transformative power of digital media to entertain, educate, and effect positive change.
• Commitment to innovation, creativity, and philanthropy.
• Aims to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations.