Data Science Engineer (SUB)

Description

Job Summary: Perform data science activities, including dashboard and application development, data structuring, processing, and analysis. Key Highlights: 1. Development of technological solutions to support processes and dashboards. 2. Execution of data extraction, processing, and transformation (ETL). 3. Application of statistical models for budget forecasting and control. **Description:** Perform data science activities: dashboard and application development, data structuring, maintenance, processing, and analysis. **Responsibilities:** **Dashboard and Application Development** * Develop, deploy, maintain, and monitor technological solutions supporting business processes, activities, and management dashboards; * Create integrated dashboards for performance management, controls, and critical indicator analysis, including support for Critical Analysis Meetings (CAMs) and management forums; * Develop and integrate interfaces between corporate tools, making processes, controls, and presentations simpler, more efficient, and intuitive; * Support users in creating and improving control, analysis, and management tools using Power BI, SharePoint, Excel (including macros), databases, and other data analysis tools; * Specify system requirements and rules, as well as prepare functional documentation (screens, fields, and workflows); * Propose and develop Business Intelligence (BI) solutions (e.g., Power BI, SAP BI, IBM Cognos, Tableau, Sisense, TIBCO Spotfire, Oracle BI); * Lead the implementation of new technologies and environment integration, managing change and communicating with impacted departments; * Conduct training sessions and keep solution-related materials updated. **Data Structuring, Processing, and Analysis** * Update, organize, and maintain data and documents in computerized systems; * Critically evaluate existing systems and applications, focusing on integration, compliance, and preparation of databases for future use; * Support the ICT department in system development and process improvement; * Maintain foundational registries supporting the value chain; * Execute data extraction, translation, storage, and transformation (ETL); * Perform data processing, standardization, and qualification; * Develop and structure historical databases for advanced analytics and future applications, including neural networks; * Conduct analyses using pivot tables, queries, macros, charts, and statistical techniques; * Apply descriptive and inferential statistical methods (e.g., multiple regression, triangular distribution, predictive models); * Develop statistical models for budget forecasting and control, building management dashboards and detailed reports; * Lead data mining projects (ETL, preprocessing, modeling, inference, and report generation); * Understand and analyze unit-level processes and performance indicators. Education Requirement: Bachelor’s degree in Engineering with active registration in the Professional Council (CREA). Experience Requirement: * One (1) year of experience in activities similar to the scope of this service. * Preferred: One (1) year of experience in subsea engineering activities. **Mandatory Knowledge:** * Advanced proficiency in Excel; * Advanced proficiency in Power BI and SharePoint; * Proficiency in VBA; * Knowledge of statistical decision-support methods, data mining, data reliability, business intelligence, machine learning, neural networks, NLP, time-series forecasting, and web scraping; * Proficiency in programming languages focused on statistical analysis (e.g., R or Python) **Preferred Knowledge:** * Knowledge of subsea engineering. **Salary:** R$ 11\.735,17 **Benefits:** Meal allowance of R$ 47.08 per working day, dental plan, health insurance covering spouse and children up to age 21 (only co-payment deducted), remote work allowance, life insurance **Work Regime:** Hybrid (3 days onsite) \- 40 hours/week **Work Location:** PETROBRAS Imbetiba \- Av. Elias Agostinho, 665 \- Centro, Macaé