Offer summary
Qualifications:
Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Economics, or a related field., Proficiency in Python with experience in data manipulation libraries., Experience with visualization libraries and geospatial datasets., Familiarity with statistical analysis and machine learning techniques., Experience working with APIs for data integration..
Key responsabilities:
- Analyze large datasets to generate actionable insights for credit solutions.
- Build and optimize machine learning models for credit assessments.
- Collaborate with engineering, product, and business teams on data-driven strategies.
- Design and maintain data pipelines for data ingest, cleaning, and transformation.
- Perform exploratory data analysis and create visualizations for stakeholder communication.