Job Summary: A Data and AI professional responsible for developing data science and machine learning solutions to solve business problems—from problem understanding to model delivery. Key Highlights: 1. End-to-end data and AI operations, from data ingestion to production machine learning. 2. Focus on GCP, BigQuery, Vertex AI, and MLOps practices. 3. Collaboration with engineering and business teams to capture value. Vibra Energia’s Data and Artificial Intelligence (Data & AI) area is responsible for building, operating, and evolving the company’s enterprise-wide data and intelligence capabilities—ensuring data is trustworthy, accessible, governed, and transformed into high-impact business decisions and automation. The scope is end\-to\-end, covering: * Data ingestion and integration from internal systems and external sources; * Cloud-based storage and processing, including data lake/warehouse layers and analytical serving; * Analytical and semantic modeling, metric standardization, and data quality; * BI and advanced analytics, supporting operational to strategic decision-making; * Data science, machine learning, and AI—from experimentation to production; * Development of data products and AI products—including intelligent automation and AI agents. The platform prioritizes Google Cloud Platform (GCP) and cloud\-native standards, using technologies such as: * BigQuery (central analytical layer); * Cloud Storage (data lake); * Pipelines/orchestration: Cloud Composer (Airflow), Dataflow, Dataproc, Pub/Sub, Workflows; * Transformation/modeling: Dataform, ELT/ETL patterns; * Governance/metadata: Dataplex, Data Catalog; * BI/consumption: Tableau, Power BI, or Looker; * AI/ML: Vertex AI (training, endpoints, pipelines), MLOps/monitoring practices; * Observability and security: Cloud Logging/Monitoring, auditing, LGPD compliance, and cost efficiency (FinOps); * Developing data science and machine learning solutions to solve business problems—from problem understanding to model/insight delivery—using Python, BigQuery, and Vertex AI (where applicable), collaborating with engineering for operationalization and with business areas to capture value—including use cases enabling AI and AI agents. **Responsibilities and Duties** * Translate business problems into hypotheses, metrics, and analytical experiments; * Perform advanced EDA, feature engineering, and training dataset preparation; * Train and evaluate models (classification, regression, time series, clustering, recommendation—as required); * Implement training/inference pipelines (e.g., notebooks \+ Vertex AI pipelines, where applicable); * Work with large-scale datasets in BigQuery and optimize extractions 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, where applicable); * Contribute to AI agent components (e.g., features, scoring, intelligent rules, agent performance evaluation). **Requirements and Qualifications** **Requirements** * Intermediate/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 (desirable: Vertex AI, pipelines, endpoints); * Version control with Git and best practices for reproducibility; * Nice-to-have: MLflow/experiment tracking, model registry, LLM/GenAI (where applicable), MLOps fundamentals. **Technical Competencies** * Statistical and ML modeling; validation and metrics; * Feature engineering and robust data preparation; * Critical interpretation of results and translation into business insights; * Best practices for reproducibility (versioning, documentation). **Behavioral Competencies** * Critical thinking and analytical rigor; * Proactivity and scientific curiosity; * Clear communication with both technical and non-technical audiences; * Collaboration with engineering/product/business teams. **Additional Information** **And more—check out our benefits package:** * Health and Dental Plan – Bradesco – extendable to dependents * PAE \- Financial assistance for dependent children and/or stepchildren with intellectual disabilities * Pharmacy Benefit . Discounts up to 85% * Supplementary Pension – FlexPrev Plan \- ranging from 1% to 11%, based on salary * Life Insurance – provided to all employees starting on their admission date, at no cost * Extended Leave \- Maternity (total of 180 days) and Paternity (total of 20 days) * Meal/Voucher Allowance – Caju Benefits * Educational Assistance \- For dependents through high school * TotalPass * Solar Subscription \- Opportunity to obtain special discounts on electricity bills via subscription to a distributed generation plan * Smiles Corporate Club \- Up to 50% discount on travel plans—for you, spouse, and children aged 18+. * Service Length Bonus – Additional salary component (based on tenure), paid during vacation periods. **And for our team’s development...** * Learning Platform: Vibra Values Learning Path and renowned curation with over 200 courses available anytime. * Internal Recruitment: Job openings published nationwide, encouraging internal mobility. **Who Are We?** We are Vibra—a young company that was born large, **one of the five largest companies in Brazil**, with a diversified and global investor base. **With over 50 years of experience** and a competent, committed team, we serve more than **30 million people** across our network of over **8,000 fuel stations**, operated by our distributors from north to south of the country; and **26,000 corporate customers.** Here, we value **pace** in delivering **results**, and **respect** in relationships. We **listen** with empathy and **deliver** with agility. We act with **ownership**, and **collaborate** to make things happen. We speak with **transparency**, act with **integrity**, and **honor our commitments.**