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Full-Time

Principal Applied Scientist

Posted on 1/24/2024

Ripple

Ripple

1,001-5,000 employees

Blockchain-based global financial services solutions

Hardware
Fintech
Crypto & Web3
Financial Services

Expert

New York, NY, USA

Category
Applied Machine Learning
AI & Machine Learning
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
  • Excellent written and verbal communication skills
  • Attention to detail and 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
  • Be a foundational member of the applied science pillar and shape its future
  • Develop and hire the best
  • Work with teams across the organization to deliver the best experience for customers

Ripple provides a compelling workplace for those interested in shaping the future of financial services through blockchain technology. With a focus on fostering transparent and efficient financial solutions across over 40 countries, this company leads in integrating crypto solutions for cross-border payments and liquidity management. Operating in a global network, employees benefit from an expansive, multicultural environment that values innovative approaches to solve real-world financial challenges.

Company Stage

Later Stage VC

Total Funding

$319.4M

Headquarters

San Francisco, California

Founded

2012

Growth & Insights
Headcount

6 month growth

6%

1 year growth

14%

2 year growth

41%

Benefits

401(k) Plan

Healthcare Coverage

Health and Wellness

Family Support

Flexible Vacation

Employee Giving

Learning and Development

INACTIVE