Data Scientist

Join us to be part of a living ecosystem where business futures are created and lived every day. Be part of this transformation!

We at LUZA Group, passion, perseverance, and the willingness to overcome limits define our path to success.

Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and a significant volume of business. With presence in strategic markets such as Portugal, Spain, Morocco, Brazil, Mexico, United States, and China, we offer innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment. Everything we do is driven by the talent of our people.

This is a moment of growth and opportunity. The future belongs to visionary minds. Join us!

Responsibilities and Tasks of the Function

Work with business partners, data engineers, and technology teams to develop solutions;
Act as a representative of Advanced Analytics in strategic projects for corporate and industrial areas;
Build machine learning and statistical models to predict future results;
Perform exploratory data analysis to discover patterns and trends, validate hypotheses, and generate business insights;
Implement, test, deploy, document, and debug data pipelines and machine learning pipelines;
Evolving the technological roadmap by researching and following the evolution of technologies and markets;
Understand BI & Analytics components and how they integrate to meet business demands.

Required Skills
Higher education degree in Computer Science, Engineering, Information Systems, or related fields;
At least 2 years of relevant experience as a data scientist;
Experience with Python programming language, SQL, and Spark;
Experience with the data science process, including exploratory data analysis, data preparation, predictive model development, and deployment;
Experience in machine learning techniques (Classification, Regression) and tools/libraries;
Experience deploying models to cloud (Azure, Databricks, Docker, Mlflow);
Experience in Data Lakehouse environment;
Knowledge of time series models;
Knowledge of optimization;
Knowledge of Machine Learning Operations (MLOps).

Additional Requirements
Knowledge of cloud Azure, AWS, and OCI;
Knowledge of Deep Learning;
Knowledge of R programming language;
Knowledge of developing applications using LLM (GPT3.5, GPT4, and similar);
Knowledge of techniques for Natural Language Processing (NLP);
Knowledge of Microsoft Power BI;
Experience with Agile Methodology.

Work Location
Counting/MG

Working Hours and Format
08:00 to 18:00 - Monday to Friday - Hybrid (3x On-site)