Intermediate Data Science| Anti-Fraud

Anheuser-Busch InBev
Campinas
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Analytical skills","Problem-solving","Critical thinking","Cross-functional collaboration","Ownership"]

Develop anti-fraud machine learning models and behavioral risk scoring to protect AB InBev’s TaDa LATAM platform. Transform large datasets into automated, real-time decision engines that reduce financial losses while preserving legitimate user experiences. Work cross-functionally with Anti-Fraud, Product, Engineering, Analytics, and Payments to build blocking rules, run experiments and A/B tests, monitor model performance, and deploy scalable solutions in production.

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Anheuser-Busch InBev
Anheuser-Busch InBev
3 days ago

Intermediate Data Science| Anti-Fraud

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop anti-fraud machine learning models and behavioral risk scoring to protect AB InBev’s TaDa LATAM platform. Transform large datasets into automated, real-time decision engines that reduce financial losses while preserving legitimate user experiences. Work cross-functionally with Anti-Fraud, Product, Engineering, Analytics, and Payments to build blocking rules, run experiments and A/B tests, monitor model performance, and deploy scalable solutions in production.
Location: Campinas
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop machine learning models to prevent fraud and detect abusive behavior.
  • •Build behavioral risk scoring algorithms using behavioral, transactional, and contextual signals.
  • •Design blocking rules and automated decision strategies to reduce fraud without hurting legitimate users.
  • •Develop models to detect promotional fraud, consumer abuse, payment fraud, multi-accounting, and other platform abuse.
  • •Monitor deployed model and fraud rule performance, run experiments/A-B tests, and partner with engineering/data engineering to deploy and ensure data quality.

Pay and Benefits

Perks:PensionMeal AllowanceHealth InsuranceDentalLife InsuranceMedicines DiscountsChildcare SubsidiesCommuter BenefitsScholarshipLanguage TrainingPrivate Insurance

Key Requirements

  • •Experience applying data science to solve complex business problems.
  • •Hands-on experience deploying and maintaining machine learning models in production environments.
  • •Advanced proficiency in Python and SQL.
  • •Experience with feature engineering and predictive modeling, including supervised and unsupervised learning.
  • •Strong communication skills and the ability to collaborate effectively across cross-functional teams.
Experience:Anti-fraudRiskPaymentsFraud preventionFintechDelivery platformsMarketplaces
Skills:Analytical skillsProblem-solvingCritical thinkingCross-functional collaborationOwnership
Languages:English
Tech Stack:PythonSQLScikit-learnXGBoostLightGBM

Company Brief

Anheuser-Busch InBev
A global brewer producing, distributing, and marketing beer and other beverages across hundreds of brands, including Budweiser, Stella Artois and Corona. Operates a vast global supply chain and retail network serving consumers worldwide.
Industry: Food & Beverage
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Leuven, Belgium
Founded: 2008
WebsiteLinkedIn