Data Scientist, L2

This is a fully remote position, open to applicants in Guatemala.

📋 Description

• Data analysis and modeling:

• Leverage your analytical skills to identify patterns, trends, and valuable insights from large datasets.

• Model development and validation:

• Utilize industry-standard techniques to create features, clean datasets, and develop pipelines for training and implementing our models, primarily focusing on classification models.

• Credit risk assessment:

• Assess the credit risk of potential borrowers using the developed models, effectively assigning credit scores or probabilities of default (PD). We seek individuals who think innovatively; we frequently use alternative data to build our models, valuing both industry best practices and creative solutions.

• Feature engineering:

• Identify and create relevant variables that enhance the predictive power of the models and adequately represent individuals' creditworthiness.

• Interdisciplinary collaboration:

• Work together with other teams to provide analysis, develop models, and participate in technical decision-making.

• Performance monitoring and evaluation:

• Continuously monitor the performance of implemented models, assess their metrics, and make necessary adjustments to adapt to changes in user behavior, market conditions, or applicable regulations.

• Research and innovation:

• Stay updated on the latest advancements in data science and machine learning, as well as experiment with new approaches to credit risk assessment.

⛳️ Requirements

• Degree in Data Science, Statistics, Computer Science, or a related field, with programming knowledge. [ESSENTIAL]

• Experience or knowledge in Data Engineering. [DESIRABLE]

• Familiarity with AWS (Amazon Web Services). [DESIRABLE]

• 1 to 2 years of experience in Data Science or Data/Business Analytics (with knowledge of Machine Learning). [ESSENTIAL]

• 1 to 2 years of experience applying Machine Learning to financial risk analysis. [DESIRABLE]

• 2 or more years of experience using Python and SQL. [ESSENTIAL]

• We are looking for an individual with analytical and creative thinking, passionate about exploring data, extracting valuable insights, and turning them into actionable business decisions. [ESSENTIAL]

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and training.

• Flexible working hours and the possibility of remote work.

• Collaborative and innovative work environment.

• Health and wellness programs.