Job Description
Summary
- You’ve got positive energy. You’re optimistic about the future and determined to get there.
- You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
- You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
- You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
- You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
- You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
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. This is a generic job posting for roles that will stretch across a number of different areas in Growth, Customer Experience, and our Eng Infrastructure teams.
What You’ll Be Doing (ie. Job Duties)
- 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.
What We Look For In You (i.e., Job Requirements):
- PhD preferred, or a Master’s degree in a quantitative field such as Math, CS, or Statistics with 6+ 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.
Nice To Haves
- Experience working with Growth or Customer Experience teams.
- Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data.
ID: G2462
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$201,450—$237,000 USD
Skills
- Communications Skills
- Machine Learning