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.