Staff Applied Scientist - Causal Inference

Coinbase Careers Page

1d • Hybrid

About The Position

Ready to be pushed beyond what you think you’re capable of?
At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.
To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.
Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
As an Applied Scientist sitting within our Data Science organization, you will be responsible for building cutting edge models to navigate critical tradeoffs to drive business value.

Requirements

• PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience
• Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
• Deep theoretical and applied expertise in a wide range of quasi-experimental methods
• A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders.
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice To Haves

• Experience in the fintech or crypto industries.
• Specific experience working pricing models, marketing attribution, or customer LTV modeling.
• Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data.

Responsibilities

• Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML)
• Act as a leader to establish standards for measurement for new product and feature launches
• Provide technical mentorship for other members of the data science organization
• Act as a thought partner for senior leadership to help guide our product development process

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree