Data Scientist developing analytical and AI solutions for Vibra Energia business impact. Engaging in data ingestion, processing, and machine learning product development.
Responsibilities
Translate business problems into hypotheses, metrics and analytical experiments;
Perform advanced exploratory data analysis (EDA), feature engineering and preparation of training datasets;
Train and evaluate models (classification, regression, time series, clustering, recommendation as needed);
Implement training/inference pipelines (e.g., notebooks + pipelines in Vertex AI, when applicable);
Work with large volumes of data in BigQuery and optimize extracts for modeling;
Support initial deployment and handoff to production with engineering/MLOps (endpoints, batch scoring, scheduled jobs);
Document experiments (metrics, data/model versions, decisions) and support monitoring (drift/performance, when applicable);
Contribute to components of AI agents (e.g., features, scoring, intelligent rules, agent performance evaluation).
Requirements
Intermediate to advanced Python (pandas, numpy, scikit-learn; notebooks)
Applied statistics and ML fundamentals (validation, overfitting, metrics)
Advanced SQL and experience with BigQuery
Familiarity with GCP and ML (preferred: Vertex AI, pipelines, endpoints)
Version control with Git and good reproducibility practices
Differentials: MLflow/experiment tracking, model registry, LLM/Generative AI (when applicable), MLOps fundamentals
Statistical modeling and ML; validation and metrics
Feature engineering and robust data preparation
Critical interpretation of results for business impact
Reproducibility best practices (versioning, documentation).
Benefits
Health and Dental Insurance – Bradesco – extendable to dependents
PAE – Financial assistance offered for dependent children and/or stepchildren with intellectual disabilities
Pharmacy agreement – discounts up to 85%
Supplementary Pension – FlexPrev Plan – contributions ranging from 1% to 11% depending on salary
Life Insurance – coverage for all employees from the date of hire, employer-paid
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