
Data Modeling Analyst – Mid-level
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Brazil.
• Create predictive models and pinpoint opportunities for utilizing machine learning techniques;
• Integrate, enhance, and curate datasets (ETL);
• Assist in the deployment of models;
• Establish KPIs for predictive models;
• Evaluate alternative data sources that could improve model accuracy.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Physics, or a related field;
• Theoretical understanding and practical implementation of statistical methods and/or applied mathematics and/or machine learning algorithms (LightGBM, XGBoost, clustering, Random Forest, among others);
• Familiarity with data mining tools and ETL processes;
• Proficiency in programming languages such as Python, R, and SQL;
• Strong logical reasoning, critical thinking, and adeptness in problem-solving;
• Business insight;
• Proactive, focused, and capable of thriving in a team environment;
• Experience in credit data modeling.
• Profit sharing / Bonus: Additional recognition to reward your effort and dedication.
• Health and Dental Insurance: Comprehensive coverage to protect you and your family.
• Meal Allowance: Support for daily meals.
• Life Insurance: Financial protection and peace of mind for you and your dependents.
• Extended Maternity Leave: 180 days for new mothers.
• Extended Paternity Leave: 20 days for new fathers.
• Incentives for physical activity: Access to Wellhub (Gympass) and Total Pass to support your fitness and wellbeing.
• Transportation Allowance: Assistance for your commute.
• Partnership with SESC: Benefits for culture, leisure, health, and more.
• Discount Club: Savings of up to 70% on products and services with over 2,000 partners across Brazil and Latin America.
• Birthday Day Off: A paid day off to celebrate your birthday.
• Pharmacy Discounts: Exclusive discounts on medications and health products.
Codgo.X
Kenlo
Get handpicked remote jobs straight to your inbox weekly.