Ripple
Ripple

12 Ripple Data Scientist Jobs Hiring Near You

GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion ... We are seeking an innovative and forward-thinking Staff Data Scientist and Engineer passionate ...

Staff Data Scientist

Chicago, IL ยท On-site

$196K - $245K/yr

At Ripple, we're building a world where value moves like information does today. It's big, it ... We are seeking an innovative and forward-thinking Staff Data Scientist and Engineer passionate ...

Ripple Treasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant ... Bachelor's degree in Computer Science or equivalent professional experience, with at least 8 years ...

At Ripple, we're building a world where value moves like information does today. It's big, it ... Bachelor's degree in Computer Science or equivalent professional experience, with at least 8 years ...

At Ripple, we're building a world where value moves like information does today. It's big, it ... Bachelor's degree in Computer Science or equivalent professional experience, with at least 8 years ...

Ripple Jobs Information

What is it like to work at Ripple?

Ripple is a technology company that values innovation, collaboration, and a customer-centric approach, fostering a dynamic and inclusive work environment.

The company's structure is divided into various teams, including engineering, product, and operations, which work together to develop and implement blockchain-based solutions for cross-border payments and financial inclusion. Ripple's headquarters is located in San Francisco, with additional offices in various locations worldwide, offering opportunities for remote work and collaboration.

Working at Ripple may appeal to candidates who are passionate about fintech, blockchain technology, and making a positive impact on the global financial system, as the company offers a unique opportunity to be part of a pioneering effort in the industry.

What makes Ripple an attractive place to work?

Ripple is a leading player in the fintech industry, known for its innovative approach to cross-border payments and its commitment to promoting financial inclusion. The company's workplace culture values collaboration, innovation, and diversity, offering employees a dynamic and inclusive environment that fosters creativity and growth. Joining Ripple provides opportunities for professionals to contribute to shaping the future of global payments, develop their skills in a rapidly evolving industry, and be part of a team that is driving positive change in the financial sector.
Infographic showing various Data Scientist job openings at Ripple in the United States as of July 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 98% Physical, and 2% Remote job distribution.

Staff Data Scientist

Ripple

Chicago, IL โ€ข On-site

Other

Re-posted 19 days ago


Job description

GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena.

GTreasury has more than 40 years of experience supporting some of the world's largest and most sophisticated companies. Integrating its treasury command center into Ripple's technology stack gives corporates the ability to move, manage and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella.

Join us to build the future of corporate treasury and the infrastructure that powers the Internet of Value.

We are seeking an innovative and forward-thinking Staff Data Scientist and Engineer passionate about building a world-class platform through a world-class team. Driving the technical direction the technology, the evolution of team, and the engineering excellence to make magic happen.

What You'll Do:

  • Technical Leader Platform Data team to build a robust, scalable and resilient data platform serving all portfolio applications
  • Collaborate with solution teams, product managers, and deliver robust cloud-based Data platform and solutions
  • Make decisions on the solution and the design, architecture, and delivery of systems
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and evaluating technical design & code
  • Active coach and mentor to your team and grow them in their skills
  • Drive agile development and analytical methodologies every day
  • Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team
  • Interact with your team, customers, and peers to share information and improve cross-department processes
  • Strive for transparency and partnership between our engineers and our business partners
  • Engage in concept discussions, and proposed technology solutions, to meet business objectives and influence such decisions
  • Work with multi-functional project teams on solution architecture options for design
  • Ensure all work meets quality, operational, and architectural standards needed for organizational success
  • Participate in the team's YBIYRI model (you-build-it-you-run-it), which includes participating in their on-call pager rotation.

Who You Are:

  • Leadership acumen, first and foremost
  • Strong aptitude with software development lifecycle and engineering excellence processes, Agile methodologies, and the ability to project manage moderately sized projects
  • Deep data engineering experience in complex distributed systems
  • Strong technical acumen which allows you to be responsible for the technical domain
  • Hands-on approach and ready to deep dive into code details with the team
  • Strong communication, coordination and influencing skills
  • Expert in automation with ETL process, data movement with data medallion architecture
  • Deep knowledge and experience with languages/frameworks/tooling (Databricks, SQL, Python, PowerShell, C#/.NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS services)
  • Expertise with Izenda, SSRS and AWS Data Services a bonus