Data Science Intern Summer 2024
## WHAT YOU’LL DO:
You will work with a team of data scientists and engineers who use data to drive Ripple's Product strategy and success. The entire Payment Data Science team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues.
Data science and applied science candidates will dive in on high priority initiatives, including developing liquidity strategies for RippleNet products, defining new performance metrics for the RippleNet network and analyzing emerging DeFi and blockchain applications.
## WHAT YOU'LL BRING:
Currently enrolled in an undergraduate or in a graduate program, preferably in a science or quantitative field
Hands-on experience with tailoring and applying quantitative approaches to business questions, and analyzing and interpreting data
Experience with SQL, Python or R, and data visualization tools
Solid understanding of statistical concepts and machine learning models
Comfortable collaborating with cross-functional teams using strong written and verbal communication skills
Leads with inclusive actions and has a strong work ethic
Interests in open-source, entrepreneurship, economics and financial markets, creative thinking, systems thinking, or cryptography are a plus
Apply Now
Apply Now
You will work with a team of data scientists and engineers who use data to drive Ripple's Product strategy and success. The entire Payment Data Science team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues.
Data science and applied science candidates will dive in on high priority initiatives, including developing liquidity strategies for RippleNet products, defining new performance metrics for the RippleNet network and analyzing emerging DeFi and blockchain applications.
## WHAT YOU'LL BRING:
Currently enrolled in an undergraduate or in a graduate program, preferably in a science or quantitative field
Hands-on experience with tailoring and applying quantitative approaches to business questions, and analyzing and interpreting data
Experience with SQL, Python or R, and data visualization tools
Solid understanding of statistical concepts and machine learning models
Comfortable collaborating with cross-functional teams using strong written and verbal communication skills
Leads with inclusive actions and has a strong work ethic
Interests in open-source, entrepreneurship, economics and financial markets, creative thinking, systems thinking, or cryptography are a plus
Apply Now
Apply Now