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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning model development, including predictive modeling and data manipulation using Python. Proficient in translating business problems into machine learning solutions and validating model performance with business metrics.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingData Manipulation with Pandas and NumPyPredictive Modeling TechniquesModel Validation Using Business Metrics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingTime Series AnalysisETL ProcessesLogistic RegressionRandom ForestXGBoostCatBoostLightGBMModel EvaluationVersion Control with Git

Soft Skills

Analytical ThinkingProblem SolvingCommunication

Tools & Technologies

Scikit-learnTensorFlowPyTorch

Industry Keywords

Data AnalysisBusiness IntelligenceStatistical Analysis

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