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Porto a Porto

Senior Data Scientist

Porto a Porto

Senior Data Scientist at Porto Seguro focusing on analytical knowledge dissemination and providing AI solutions for business decision making. Engaging in machine learning model development and business problem structuring.

Posted 7/8/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
ETLNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Contribute to structuring business problems and mapping them to technologies, statistical and mathematical modeling;
  • Plan, develop, and maintain machine learning and time series models;
  • Perform ETL (extraction, transformation, and validation) of data for analytical development;
  • Help business teams interpret results and provide recommendations to improve processes;
  • Participate in the validation and implementation of developed models.

Requirements

What you’ll need
  • Bachelor's degree in statistics, engineering, economics, mathematics, computer science, actuarial science, or related fields;
  • Python: Strong skills in data manipulation and transformation with Pandas and NumPy, and proficiency building and evaluating models using libraries such as scikit-learn, XGBoost and/or TensorFlow/PyTorch. Ability to write clean, modular, version-controlled code (Git).
  • Predictive models: logistic regression, Random Forest, XGBoost, CatBoost, LightGBM, etc.;
  • Proficient in validating model performance using business metrics, not only technical metrics;
  • Translate a business problem into a well-defined ML problem;

Benefits

Comp & perks
  • Flexible Meal and Food Allowance
  • Health Insurance
  • Dental Plan
  • Wellhub and TotalPass
  • Bio Ritmo gym exclusive for employees: at the Headquarters Complex
  • Profit Sharing (PLR)
  • Stock Program: 'Porto em Ação' complementary to PLR through 2025
  • Sand and multipurpose courts: at the Headquarters Complex
  • Transportation Allowance (Vale-Transporte)
  • Shuttle Van Services: available at the main access stations to Porto (Luz, Barra Funda, Santa Cecília and Júlio Prestes)
  • Extended Parental Leave: up to 40 days for all family configurations
  • Extended Maternity Leave: 6 months
  • Medical Clinic with Specialties: at Headquarters and Barra Funda Complexes
  • Childcare or nanny assistance
  • Life Insurance
  • Private Pension Plan: PortoPrev
  • Discounts on Products and Services
  • Education Assistance: reimbursement for undergraduate, postgraduate, or MBA
  • Monthly race subsidy: support for major road races in São Paulo
  • Language reimbursement (English or Spanish)
  • Teatro Porto: exclusive sessions for employees
  • Library
  • Rest area: at the Headquarters Complex
  • Game room: at the Headquarters Complex
  • Massage and podiatry services: at the Headquarters Complex

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Statistical ModelingTime Series AnalysisETL ProcessesLogistic RegressionRandom ForestXGBoostCatBoostLightGBMModel EvaluationVersion Control with Git
Soft Skills
Analytical ThinkingProblem SolvingCommunication