Principal Applied Scientist, Data

Principal Applied Scientist, Data jobs at Big-Data.digital

Principal Applied Scientist, Data

$ Not disclosed

Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future. This Internet of Value gives any internet-enabled person, application or device access to financial services that are transparent, fast, reliable, and cheap. Delivering this vision is a challenge of massive scale spanning $155 trillion in annual cross border fiat payments and the $1.5 trillion market of digital assets that has grown 10X in the last year.

We are looking for an innovative and collaborative principal applied scientist to join us in building the Internet of Value experience for our customers and their users. This is a foundational role on a new liquidity team charged with determining and delivering optimal liquidity for every customer in the world in a cost-effective, robust and scalable manner. From forecasting supply and demand, to optimizing routing across traditional and digital assets and venues, to building risk and compliance solutions for blockchains, this role will be critical in developing the liquidity engine that powers the Internet of Value. Ideal candidates will have a track record of scientific leadership and technical strength. In starting a new area of focus at Ripple, successful candidates must be passionate about inventing and delivering customer-focused solutions to ambitious and ambiguous challenges. You will define and drive end-to-end machine learning solutions that solve real customer problems while helping grow and build the team that delivers them.

Location is flexible within the US.

WHAT YOU’LL DO:

  • 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
  • Own the architecture and vision for delivering scalable, auditable, and maintainable production machine learning services at Ripple
  • Be a foundational member of a new applied science pillar with a huge opportunity to shape its future
  • 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 WE’RE LOOKING FOR:

  • 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

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), fully paid parental leave, commuter benefits
  • 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!

WHO WE ARE:

Ripple provides one frictionless experience to send money globally using the power of blockchain. By joining Ripple’s growing, global network (RippleNet), financial institutions can process their customers’ payments anywhere in the world instantly, reliably and cost-effectively. Banks and payment providers can use the digital asset XRP to further reduce their costs and access new markets.

With offices in San Francisco, New York, London, Mumbai, Singapore, São Paulo, Reykjavík, Washington D.C. and Dubai, Ripple has more than 300 customers around the world.

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Published 2021-05-14

Ripple looks for a Principal Applied Scientist, Data in San Francisco, CA 94105 location.

How much Data Scientist professional earns at Ripple?

The proposed salary for Data Scientist position at Ripple is Not disclosed.

Principal Applied Scientist, Data responsibilities at Ripple

According to the common industry standard, Data Scientist specialist is in charge for the following activities.

Required Data Scientist qualifications at Ripple

To be disscussed with candidate