Hybrid Data Scientist, Mid-level

Posted 4 days ago

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About the role

  • 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
  • Extended Leave – Maternity leave (total 180 days) and Paternity leave (total 20 days)
  • Meal and/or Food Allowance – Caju Benefits
  • Educational Assistance – for dependents up to high school
  • TotalPass
  • Solar Subscription – possibility of a special discount on your electricity bill through participation in a distributed generation plan
  • Corporate Smiles Club – discounts up to 50% on travel plans. Also available to spouse and children 18+
  • Length-of-service bonus – an additional salary payment (based on tenure) paid when taking vacation.

Job title

Data Scientist, Mid-level

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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