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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop, train and optimize Machine Learning models to support decision-making in the Credit and Collections areas;
- Manage the model lifecycle (monitoring, performance tracking and recalibration);
- Conduct exploratory analyses, ad hoc studies and generate business insights;
- Identify and incorporate new data sources (structured and unstructured);
- Communicate results clearly to stakeholders while maintaining technical rigor;
- Promote a data and analytics culture across business areas;
- Encourage the use of AI and propose innovative approaches, challenging the status quo.
Requirements
What you’ll need- Experience in developing, implementing and monitoring predictive models;
- Proficiency in Python and experience with Databricks;
- Experience working with databases for data extraction, processing and organization;
- Strong understanding of statistical modeling techniques and Machine Learning;
- Good communication skills and the ability to translate analyses into business insights;
- Proactive, flexible and strongly results-oriented.
Benefits
Comp & perks- Health plan with no monthly fee and Telemedicine;
- Dental plan;
- Meal and food allowance;
- Life insurance;
- Private pension plan;
- Competitive annual variable compensation (bonus);
- PPR — Profit-Sharing Program (Results Participation Program);
- Bicycle parking and changing rooms;
- Childcare assistance;
- Internet allowance;
- Wellness programs;
- On-site medical clinic;
- Pregnancy support program;
- Extended maternity and paternity leave;
- Psicologia Viva — Free online therapy sessions;
- PAP — Financial, legal and psychological advisory program;
- Gympass — Discounts at gyms;
- Fresh fruit every day;
- Birthday day off;
- Flexible dress code;
- Hybrid work model.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine Learningpredictive modelingstatistical modeling techniquesdata extractiondata processingdata organizationmodel lifecycle managementperformance trackingrecalibrationexploratory analysis
Soft Skills
communication skillsresults-orientedproactiveflexiblestakeholder engagementbusiness insight translationdata and analytics culture promotioninnovative thinkingchallenging the status quo
