Principal Applied Scientist @ Ripple

• Design and build automated ML-based systems for forecasting, optimizing and managing access to global liquidity so our customers can send value instantly, easily, efficiently and cost-effectively to all corners of the world
• Lead the scientific vision and ML strategy for how we delivering scalable, auditable, and maintainable production machine learning services at Ripple
• Be a foundational member of our applied science pillar with a huge opportunity to shape its future
• Develop and hire the best
• Work with teams across the broader organization, including engineering, product, legal, compliance, finance and business development to think beyond the technical design in delivering the best experience for our customers

WHAT YOU’LL BRING:

• Masters or PhD (preferred) 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
• You are excited about blockchains; the technical details and the potential benefits
• Excellent written and verbal communication skills, especially with non-technical senior leaders
• Attention to detail and a commitment to excellence
• An entrepreneurial problem solver with a bias for action