Data Scientist L2 - Remote

Overview

The Data Scientist L2 position focuses on analyzing and modeling data to assess credit risk, develop predictive models, and collaborate across teams to enhance decision-making.

In Short

• Leverage analytical skills for data analysis and modeling.
• Develop and validate classification models.
• Evaluate credit risk using developed models.
• Create meaningful features to enhance model predictive power.
• Collaborate with cross-functional teams.
• Monitor and assess model performance continuously.
• Stay updated with advancements in data science.
• Experiment with new approaches for credit risk assessment.

Requirements

• Background in Data Science, Statistics, or Computer Science.
• Data Engineering experience is a plus.
• AWS Services knowledge is desirable.
• 1-2 years of experience in Data Science or Business Analytics.
• 1-2 years of ML experience applied to financial risk.
• 2+ years of Python and SQL experience.
• Creative problem-solving skills.
• Passion for data analysis and insights extraction.

Benefits

• Opportunity to work with large datasets.
• Engagement in innovative projects.
• Cross-functional collaboration opportunities.
• Professional growth and development.