Senior Data Scientist

Ripple  logoRipple

Jun 24

Ripple provides one frictionless experience to send money globally using the power of blockchain. It offers a global real-time payment system that enables banks and financial institutions around the world to directly transact with each other without the need for a central correspondent. The company also offers FX Market Making, a solution enablingenterprises to gain access to cross-currency liquidity through a distributed network that allows foreign exchange to be externally sourced from a competitive FX marketplace or an internal FX trading desk. This minimizes FX exposure thereby lowering the volatility and counter-party risk of trades. Ripple Insights features industry updates, insider perspectives, and in-depth market analysis.

Job Description

What You’ll Do:

  • Support business units by developing quantitative approaches to drive long-term strategic decisions for Ripple’s products, services, and competitive advantages. 
  • Identify, provide answers to, and develop quantitative frameworks for questions with significant business impact. 
  • Collaborate with cross-functional teams by acting as domain experts in quantitative disciplines. 
  • Evangelize best practice data methodologies internally and externally, which includes researching new methods and frameworks across the industry to improve the team’s capabilities. 
  • Act as ambassadors of data for the organization and be responsible for the organizations understanding of its challenges through data. 
  • Identify and collect important datasets to support data science research across Ripple.

What We’re Looking For:

Must have a Bachelor’s degree in Computer Science or a related field plus 4 years of experience in metrics definition and tracking, machine learning models, and data infrastructure and tools integration; or a Master’s degree in Computer Science or a related field plus 2 years of experience in metrics definition and tracking, machine learning models, and data infrastructure and tools integration.

Of the required experience, must have 2 years of experience in each of the following (which may be gained concurrently): statistical modeling (Python, R, or SQL); and, data visualization.

Of the required experience, must have 1 year of experience in two or more of the following (which may be gained concurrently): production machine learning models; new feature launch experimentation; user growth and retention strategy optimization; blockchain analytics; financial modeling; time series analysis; or, predictive modeling.

To apply, please email resume to: [email protected] and must reference Job # SWE10 to be considered.



  • The chance to work in a fast-paced start-up environment with experienced industry leaders
  • A learning environment where you can dive deep into the latest technologies and make an impact
  • Competitive salary and equity
  • 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
  • 401k (with match), commuter benefits
  • Industry-leading parental leave policies
  • Generous wellness reimbursement and weekly onsite programs
  • Flexible vacation policy - work with your manager to take time off when you need it
  • Employee giving match
  • Modern office in San Francisco’s Financial District
  • Fully-stocked kitchen with organic snacks, beverages, and coffee drinks
  • Weekly company meeting - ask me anything style discussion with our Leadership Team
  • Team outings to sports games, happy hours, game nights and more!

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7 applications

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