Senior Data Scientist – Fintech
AB InBev
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
About the role
- Be part of a high-impact fintech data science team building ABIs credit models, credit decisioning systems, and ML-powered infrastructure that drive billions of dollars in credit transactions annually for millions of users worldwide.
- Design, develop, and deploy statistical and machine learning models across the full lifecycle — from research and experimentation to production — with a focus on credit risk, underwriting, portfolio optimization, and experimentation.
- Write a substantial amount of production-grade code while conducting deep analytical and statistical research, translating theory into practical improvements in live credit systems.
- Lead and contribute to experimentation and model evaluation (offline analysis, simulations, and online tests), ensuring models are robust, explainable, and aligned with regulatory, risk, and business constraints.
- Work with industry-leading technologies and modern ML platforms, building scalable modeling and data workflows that operate reliably at global scale.
- Collaborate closely with exceptional engineers, product managers, analysts, and business stakeholders.
- Continuously explore and adopt state-of-the-art methods in statistics, machine learning, and optimization, raising the technical bar and shaping best practices across the fintech data science organization.
Requirements
- Strong foundation in mathematics and statistics.
- Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD a plus.
- Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation, ideally in high-stakes decision systems.
- Proven ability to apply machine learning and statistical models in production, balancing accuracy, stability, explainability, and real-world constraints.
- Proficiency in Python for analysis, modeling, and production workflows; experience with distributed data processing (e.g., Spark / PySpark) is a plus.
- Experience with modern ML development practices, including version control, CI/CD, and reproducible research and modeling workflows.
- Strong proficiency using AI coding agents and developer tools in a controlled, thoughtful, and production-oriented way to accelerate development without compromising quality.
- Creative, curious, and independent thinker who challenges assumptions, proposes novel approaches, and reasons deeply about complex systems.
- Excellent communication skills, able to clearly explain complex models and results to both technical and non-technical audiences.
Benefits
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningstatistical modelscredit riskunderwritingportfolio optimizationPythondistributed data processingexperimentation frameworksmodel validationCI/CD
Soft Skills
analytical thinkingcommunication skillscreativityindependencecollaborationproblem-solvingcuriositycritical thinkingexplainabilityadaptability
Certifications
Bachelor’s degreeMaster’s degreePhD