Job Description
Title: Senior Data Scientist
Location: San Francisco, CA, United States
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK:
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 teams 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. Telecommuting permitted 100% may live anywhere in the U.S.
MINIMUM REQUIREMENTS:
Must have a Bachelor’s degree in Computer Science, Business Analytics, Management Information Systems or a related field plus 5 years of progressive, post-baccalaureate experience in metrics definition and tracking, machine learning models, and data infrastructure and tools integration; or a Master’s degree in Computer Science, Business Analytics, Management Information Systems or a related field plus 3 years of experience in metrics definition and tracking, machine learning models, and data infrastructure and tools integration.
Must have 2 years of experience in each of the following (which may be gained concurrently): SQL; statistical modeling (Python or R); and dashboard generation and data visualization (Tableau or Google Studio).
Must have 2 year(s) 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.
