Staff Data Scientist (Applied ML)

Staff Data Scientist (Applied ML)

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

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