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.
WHAT WE OFFER:
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!
Apply here 👉 Senior Data Scientist