Remote Senior Applied Scientist

Summary

Join us and build real world value at Ripple, a company that's building a world where value moves like information does today. We're improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world.

Requirements

• Must have a Master’s degree in Statistics, Physics, Data Science, Analytics, Computer Science or other related quantitative field
• Plus three (3) years of experience with machine learning
• Of the required experience, must have 3 years of experience in all of the following technologies
• SQL
• Using common Python ML tools including Pandas, Scikit Learn, Numpy, and/or Tensorflow
• BI tooling using Tableau, Excel, PowerBI, and/or Looker
• Of the required experience, must have 3 years of experience communicating to non-technical stakeholders how machine learning models affect business outcomes
• And using BI tools to visualize results in a user-friendly way
• Of the required experience, must have 3 years of experience in statistical modeling, time series analysis, supervised and unsupervised learning
• And experimentation using machine learning models
• Of the required experience, must have 1 year of experience in four or more of the following
• Cloud computing platforms (AWS, GCP, or Azure)
• Text mining or natural language processing
• Anomaly detection
• Agile development practices
• Docker
• Deploying client-facing analytics applications

Responsibilities

• Build end-to-end machine learning-enabled solutions
• Develop the liquidity engine that powers the Internet of Value
• Utilize technical expertise and analysis of data and user requirements to plan, invent, design, build and deliver reliable customer-focused solutions
• Determine, deliver, and build automated systems for delivering crypto liquidity instantly, efficiently, cost-effectively and in a scalable manner
• Forecast supply and demand, optimize routing across traditional and digital assets and venues, and price and risk management systems
• Design and implement scalable, auditable, and maintainable machine learning services
• Collaborate with Ripple engineers and data scientists to build a world-class machine learning platform

Benefits

• Telecommuting permitted 100% - may live anywhere in the U.S
• Competitive salary, bonuses, and equity
• Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
• Employee giving match
• Mobile phone stipend
• R&R days so you can rest and recharge
• Generous wellness reimbursement and weekly onsite & virtual programming
• Generous vacation policy - work with your manager to take time off when you need it
• Industry-leading parental leave policies. Family planning benefits
• Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events