Remote Data Scientist L2

Description:

• Analyze and model data to identify patterns, trends, and insights from large datasets.
• Develop and validate models using industry-standard techniques, focusing on classification models.
• Evaluate credit risk of potential borrowers and assign credit scores or probabilities of default.
• Perform feature engineering to enhance model predictive power and represent creditworthiness.
• Collaborate with interdisciplinary teams for analysis, model development, and technical decision-making.
• Monitor and evaluate model performance, making necessary adjustments based on user behavior and market conditions.
• Stay updated on advancements in data science and machine learning, experimenting with new approaches for credit risk assessment.

Requirements:

• Degree in Data Science, Statistics, Computer Science, or related field with programming knowledge. [MANDATORY]
• Experience or knowledge in Data Engineering. [DESIRABLE]
• Familiarity with AWS (Amazon Web Services). [DESIRABLE]
• 1-2 years of experience in Data Science or Business Analytics (with Machine Learning knowledge). [MANDATORY]
• 1-2 years of experience applying Machine Learning to financial risk analysis. [DESIRABLE]
• 2+ years of experience using Python and SQL. [MANDATORY]
• Analytical and creative thinker, passionate about exploring data and converting insights into actionable business decisions. [MANDATORY]

Benefits:

• Opportunity to work with large datasets and cutting-edge technologies in data science.
• Collaborative work environment with interdisciplinary teams.