Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- 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
Benefits
- Competitive compensation
- Exciting career opportunity
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