Data Scientist II | Estratégia e Crédito
Stone
WorldwideFully remoteFull TimeMid LevelInformation Technology
No salary statedPosted 9 days ago1w agoApply link checked 27 minutes ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 9 days ago · apply link checked 27 minutes ago
About the role
Responsibilities
- Develop, implement, and evolve predictive models for credit risk, churn, propensity, and revenue using ML and statistics
- Build and evolve features for models, transforming raw data into relevant, reusable, and reliable variables
- Build reproducible data pipelines by writing clean and reliable code
- Define and monitor model quality metrics such as KS, AUC/Gini, precision, recall, uplift, and business impact
Requirements
- Practical experience in developing predictive models with ML and statistics
- Strong foundation in statistics and modeling (validation, calibration, discrimination, and model stability)
- Fluency in Python and main ML libraries (Scikit-learn, XGBoost/LightGBM, Pandas)
- Clear and proactive communication to report progress and present results objectively
Preferred Qualifications
- Experience with credit, risk, or financial services
- Mastery of SQL and experience with large data volumes (Spark, Databricks, BigQuery)
Benefits
- Fixed salary and variable compensation package (PLR, ILP, or Commission)
- Health and dental insurance with co-participation
- 24/7 virtual hospital/telemedicine team
- Medication subsidy
- Meal and/or food vouchers
- Daycare assistance for children up to 5 years and 11 months
- Assistance for children with disabilities
- Life insurance
- Fuel or displacement assistance
- Home office assistance
- Emotional support (Acolhe360º)
- Education benefits via internal platform
What we look for
- Experience in predictive modeling with ML and statistics
- Fluency in Python and ML libraries
- Strong statistical and modeling foundation
- Clear and proactive communication
PythonMachine LearningSQL
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