Mid-Level Data Scientist

Description

Job Summary: We are seeking a Data Scientist to work on strategic analytics, process automation, and development of robust analytical solutions within technology consulting. Key Highlights: 1. Participation in national and international digital transformation projects 2. Focus on strategic analytics, automation, and robust analytical solutions 3. An environment that fosters a data-driven culture and innovation **Rio de Janeiro** – RJ \| On-site (Downtown) **Client:** Avantti Tecnologia **About Avantti Tecnologia** Avantti Tecnologia is a consultancy specialized in digital solutions, technology services, and strategic allocation of high-performance professionals. We operate on national and international projects, supporting our clients in digital transformation, innovation, and value generation through data. We are looking for a Data Scientist to work on-site in Downtown Rio de Janeiro, contributing to strategic analytics, process automation, and development of robust analytical solutions. Requirements: **Main Responsibilities** Extract, consolidate, and process datasets from multiple sources (spreadsheets, APIs, Data Lakes, and corporate systems); Create and maintain automated data pipelines using programming languages, scripts, and automation tools; Perform descriptive, diagnostic, and predictive analyses to generate strategic insights; Develop and enhance interactive and managerial dashboards and reports; Automate recurring analytical processes, ensuring efficiency and standardization; Disseminate best practices in data governance and promote a data-driven culture across client areas; Document pipelines, methodologies, and analytical products in accordance with information security policies; Propose improvements and innovations to increase the value of corporate information. **Mandatory Requirements** Experience in service management or project management at large enterprises; Experience with Power Platform (Power BI, Power Apps, and Power Automate); Knowledge of SQL databases and Python (with Pandas); Experience with web scraping tools; Advanced Excel and proficiency in Office 365; Knowledge of Data Lakes and Data Warehouses; Fundamentals of Artificial Intelligence and Machine Learning; Knowledge of IT and risk management frameworks (COBIT, RiskIT); Information Security Standards (ISO/IEC 27000 family); Knowledge of project management and agile methodologies; Technical English (reading, writing, and speaking). **Education** Bachelor’s degree completed in Statistics, Computer Science, Mathematics, Engineering, or related fields.