Data Scientist II developing and enhancing data-driven products for a leading payments company. Analyzing data and collaborating across teams to provide actionable insights.
Responsibilities
Develop and enhance data-driven products using machine learning and statistical modeling
Analyze internal and external datasets to uncover actionable insights
Transform complex Big Data into usable formats for business applications
Collaborate across teams to solve challenging problems and present findings to stakeholders
Monitor model performance and document code to ensure transparency and scalability
Requirements
Proficiency in Python and R
Hands-on experience using Snowflake and Git
Strong understanding of transaction/payment data in financial services
Strong background in statistical modeling, machine learning, and data visualization
Experience working with transaction data or payments
Ability to communicate complex technical concepts to various audiences
A Master’s or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or a related field would be a plus
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