Data Scientist specializing in GenAI solutions, collaborating across teams in Citi’s Innovation Labs. Driving model validation and adopting AI capabilities within the bank.
About the role
- Data Science Analyst focused on predictive modeling and user segmentation at Inmetrics, developing statistical models and translating data insights into strategic recommendations.
Responsibilities
- Predictive Modeling: Develop propensity and churn models using statistical techniques to infer future consumer behavior.
- Advanced Segmentation: Create clusters and audience segmentations that directly feed digital audience strategies.
- Performance Analysis: Monitor model accuracy in production, making adjustments to ensure Marketing delivery outperforms Credit performance.
- Insight Extraction: Translate complex statistical data into strategic recommendations for Growth and Media teams.
Requirements
- Advanced experience in statistical modeling (regressions, decision trees, clustering).
- Proficiency with large-scale data handling tools (Python/R and SQL).
- Familiarity with media activation platforms and the digital data ecosystem.
- Ability to connect mathematical models to business objectives (ROI, LTV, CPA).
- Plus: Advanced English.
Benefits
- Bradesco Health Plan (30% co-payment);
- Bradesco Dental Plan (no employee contribution);
- Life insurance;
- Wellhub (Gympass);
- Childcare allowance;
- Allowance for children with special needs;
- Payroll-deductible loan;
- Private pension plan;
- Pet benefits program;
- SESC benefits;
- Conexa telemedicine.
- Expense allowance;
- Meal and food vouchers;
- Multi-benefits card;
- Health plan upgrade.
- We are a civic-minded company: extended maternity and paternity leave;
- Support program for expectant mothers;
- Newborn gift basket and the book "Acontecia quando eu nascia";
- Professional development: courses available through the internal university;
- 100% remote or hybrid, depending on project requirements.
Job title
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Degree requirement
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