Full-Time

Principal Applied Scientist

Updated on 5/2/2024

Ripple

Ripple

1,001-5,000 employees

Enterprise-grade crypto and blockchain solutions

Crypto & Web3
Financial Services

Senior, Expert

New York, NY, USA

Required Skills
Python
Java
Data Analysis
Requirements
  • Masters or PhD in computer science, statistics, physics, or other quantitative field
  • 10+ years of hands-on experience delivering production machine learning solutions to complex business problems
  • 5+ years experience with Python and/or Java
  • Broad machine learning experience including statistical modeling, time series analysis/forecasting and experimentation, bonus if in finance and trading domains, especially FX
  • Experience with cloud-based data processing and machine learning services and tools
  • Experience recruiting and mentoring a world-class team of applied scientists
  • Excitement about blockchains and the potential benefits
  • Excellent written and verbal communication skills
  • Attention to detail and a commitment to excellence
  • Entrepreneurial problem solver with a bias for action
Responsibilities
  • Design and build automated ML-based systems for forecasting, optimizing and managing access to global liquidity
  • Lead the scientific vision and ML strategy for delivering scalable, auditable, and maintainable production machine learning services at Ripple
  • Be a foundational member of the applied science pillar with a huge opportunity to shape its future
  • Develop and hire the best
  • Work with teams across the broader organization to deliver the best experience for customers

Ripple offers enterprise-grade solutions utilizing proven crypto and blockchain technology for faster, transparent, and cost-effective financial services, including cross-border payments, crypto liquidity, and Central Bank Digital Currency implementation. Their global payments network spans over 40 countries and six continents, providing innovative solutions for financial institutions, businesses, and governments.

Company Stage

Later Stage VC

Total Funding

$319.4M

Headquarters

San Francisco, California

Founded

2012

Growth & Insights
Headcount

6 month growth

12%

1 year growth

25%

2 year growth

78%

Benefits

401(k) Plan

Healthcare Coverage

Health and Wellness

Family Support

Flexible Vacation

Employee Giving

Learning and Development