About the role

As an early member of our Data Science team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving effectiveness through data-driven insights and analytics. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.

You will work closely with product, engineering, research and commercial teams to define and measure key success metrics, analyze customer growth, and build a culture of developing and testing hypotheses through experimentation. You've worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable analytics systems and processes as our company goes through a phase of rapid growth.

Responsibilities:

• Deep dive into product usage, model evaluation, infrastructure, sales and marketing data to provide insights to leaders and influence organizational strategies. Develop a unified view of user behavior across products through customer journey analysis.
• Define core success metrics. Set goals, build forecasts, and monitor performance. Diagnose changes in trends and develop actionable reporting.
• Deeply embed with stakeholders to provide insights and recommendations that influence that team's roadmap. This could include: Identify and size opportunities to improve the product. Forecast and drive capacity planning and operations, including analyzing opportunities to optimize infrastructure costs and performance. Analyze account growth and provide insights to inform our sales, marketing and customer success strategies.
• Develop hypotheses, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics.
• Develop machine models to identify drivers of growth and retention, classification models to turn unstructured data into insights, attribution models across nurture programs, and propensity models to identify key customer cohorts.
• Leverage AI and LLMs to accelerate data science workflows.
• Work with large, complex data sets. Build and prototype analysis pipelines. Develop a comprehensive understanding of company data structures. Drive data logging and gathering, requirements specification, processing, extraction, and manipulation. Ensure data quality and monitoring, perform feature engineering and data cleaning.
• Develop strong cross-functional relationships, collaborative working groups, and embed in business units as a strategic thought partner.
• Build a data-driven culture from the ground up by establishing engineering best practices and making data more accessible across the company.

You may be a good fit if you have:

• B.S. degree in a quantitative field like Statistics, Mathematics, Computer Science, Economics, Operations Research, Physics, or related technical field. MS or PhD preferred.
• 10+ years of experience in data science or analytics roles, preferably in the context of the particular team
• A passion for the company's mission of building helpful, honest, and harmless AI
• Expertise in coding (Python, SQL, R), statistical analysis, A/B testing frameworks, causal inference and machine learning models
• Experience with large-scale data analytics, event streaming, data modeling, pipelines, analytics platforms and visualization tools
• A bias for action and urgency, not letting perfect be the enemy of the effective
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions
• Highly effective written communication, storytelling and exec presentation skills. Ability to turn open questions and complex analyses into concise, actionable insights.

Teams that are currently hiring:

• Marketing
• Policy & Societal Impacts
• Safeguards
• Go-to-Market
• Capacity
• Platform
• Growth
• Research