Senior Data Scientist - Applied ML

February 27

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Coinbase

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Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

Digital Currency • Software • Payment Processing • Bitcoin • Technology

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

📋 Description

• Ready to be pushed beyond what you think you’re capable of? • At Coinbase, our mission is to increase economic freedom in the world. • To achieve our mission, we’re seeking a very specific candidate. • Our work culture is intense and isn’t for everyone. • As an Applied Scientist, you will be responsible for building cutting edge models to navigate critical tradeoffs to drive business value. • Provide technical mentorship to teams across our Data Science organization. • Build models to quantify the impact of negative experiences on the Coinbase platform. • Develop novel experimentation techniques to optimize incentive spend (e.g. multi armed bandits). • Create sophisticated sequential features based on user behavior to proactively identify customer issues or counteract malicious activities on the platform.

🎯 Requirements

• PhD preferred, or a Master’s degree in a quantitative field such as Math, CS, or Statistics with 5+ years of relevant experience. • Ability to design and execute complex data and modeling solutions that span multiple teams. • Proven experience in developing and deploying ML models at scale, with a deep understanding of model lifecycle management. • Advanced knowledge of the strengths and pitfalls of various causal inference techniques. • A track record in raising and maintaining a high technical bar in a world-class data science organization. • Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. • Experience working with Growth or Customer Experience teams. • Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data.

🏖️ Benefits

• target bonus • target equity • benefits (including medical, dental, vision and 401(k))