Senior Data Scientist

Description

Job Summary: A Data and AI professional responsible for developing data science and machine learning solutions, translating business problems into hypotheses and models, and collaborating with engineering and business units. Key Highlights: 1. End-to-end data and artificial intelligence operations 2. Development of data science and machine learning solutions 3. Use of Google Cloud Platform (GCP) and cloud-native technologies 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 reliable, accessible, governed, and converted 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; * Business intelligence and advanced analytics, supporting decisions from operational to strategic levels; * 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, with 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 units to capture value, including use cases enabling AI and AI agents. **Responsibilities and Duties** * Translate business problems into hypotheses, metrics, and analytical experiments; * Conduct advanced exploratory data analysis (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 BigQuery experience; * Familiarity with GCP and ML (desirable: Vertex AI, pipelines, endpoints); * Git version control and reproducibility best practices; * Preferences: 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 business-oriented insights; * Reproducibility best practices (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 of up to 85% * Supplementary Pension – FlexPrev Plan – ranging from 1% to 11%, depending on salary * Life Insurance – coverage for 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 participation in a distributed generation plan * Smiles Corporate Club – Up to 50% discount on travel plans for you—and also available for spouse and children aged 18+ * Longevity Bonus – Additional salary component (based on tenure), paid during vacation periods. **And for our teams’ development…** * Learning Platform: Vibra’s core values learning path and renowned curation featuring over 200 courses, available anytime. * Internal Recruitment: Job openings published nationwide, encouraging internal mobility. **Who Are We?** We are Vibra, a young company that launched at scale—**one of Brazil’s top five companies**, backed by 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 **8,000+ service stations**, operated by our distributors nationwide; and **26,000 corporate clients.** Here, we deliver **results** with **pace**, and build relationships with **respect**. We **listen** empathetically 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.**