Data Science Engineer building the software and data infrastructure for media advertising at Medialab. A 1 year university placement role focusing on AI and automation in data science.
About the role
- Data Scientist (BI) designing and implementing BI solutions for LUZA Group, focusing on data ingestion, transformation, analysis, and visualization, primarily with Power BI.
Responsibilities
- Design, implement, and evolve Business Intelligence solutions;
- Ingest, process, and analyze data from multiple data sources using BI tools, preferably Power BI;
- Develop dashboards and reports that support business decision-making;
- Perform data collection, transformation, and modeling to ensure data quality and consistency;
- Test and validate data pipelines to ensure robustness, reliability, and data security;
- Collaborate with cross-functional data teams, working across backend and frontend contexts;
- Support continuous improvement of BI and reporting solutions;
- Document solutions and contribute to best practices in data visualization and analytics.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
- Minimum 2 years of experience specifying, implementing, and maintaining Business Intelligence solutions
- Experience with data visualization and reporting tools, especially Power BI
- Experience ingesting and analyzing data from diverse data sources
- Solid knowledge of Microsoft technologies, including SQL Server and PostgreSQL
- Understanding of data collection, transformation, and visualization processes, from raw data to dashboards
- Experience testing and validating data pipelines to ensure data quality and security
- Fluency in Portuguese (mandatory); proficiency in spoken and written English.
Benefits
- Important: Our company does not sponsor work visas or work permits.
- All applicants must have the legal right to work in the country where the position is based.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist for climate action progress tracking at C40. Analyzing climate - related data and managing data warehouses for performance measurement across global cities.
Product Data Scientist responsible for co - building an Agentic AI framework. Collaborating with product teams while working within a hybrid model in Warsaw, Poland.
Staff Data Scientist at Clio developing scalable ML systems and strategic experimentation frameworks. Leading high - impact modeling projects and mentoring junior team members.
Manager, Data Science and AI delivering actionable insights and AI - powered analytics tools for Pfizer’s Commercial organization. Leading execution of AI/ML models and facilitating communication of data - driven insights.
Data Scientist at Votorantim Cimentos focusing on Sales & Marketing data initiatives and model development. Collaborating with stakeholders to deliver effective data solutions.
Senior Data Scientist at INSZO applying data - driven solutions for improved patient outcomes in healthcare. Working on complex challenges using large datasets and innovative algorithms.
Data Scientist leveraging expertise in statistics, machine learning, and AI at Simplot. Contributing to diverse, challenging projects to create business value.
Data Scientist analyzing data for informed decision - making at PayPal. Collaborating cross - functionally to enhance process quality and effectiveness in payment solutions.
Product Owner developing clear product vision and AI applications at Volkswagen Group. Collaborating with data scientists and external partners to drive product success.