Staff Applied Scientist - Causal Inference
Coinbase Careers Page(1 day ago)
About this role
An Applied Scientist within Coinbase’s Data Science organization responsible for advancing measurement and causal modeling to inform product and business decisions. The role focuses on developing rigorous analytical approaches to quantify the impact of product launches and partnering with senior leadership to translate insights into strategy. It sits at the intersection of data science, product, and business operations in a crypto/fintech environment.
Required Skills
- Causal Inference
- SQL
- Python
- R
- Quasi-Experimental
- Statistical Modeling
- Technical Mentorship
- Communication
Qualifications
- PhD in Quantitative Field
- Master's in Quantitative Field
About Coinbase Careers Page
coinbase.comCoinbase is a leading cryptocurrency platform that lets individuals and institutions buy, sell, store, and transfer digital assets. Its product suite includes the consumer Coinbase app and Wallet, advanced trading and custody services for institutional clients (Coinbase Prime), commerce and developer APIs, and staking and token services. The company emphasizes security and regulatory compliance—using cold storage, insurance policies, and fiat on/off ramps like bank transfers and card payments—to make crypto accessible and safer for mainstream users. Retail investors, developers, and businesses use Coinbase for trading, custody, and building crypto-native products and services.
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