Transforming Businesses through Digital Innovation
The Stefanini Group is a multinational organization with a diverse portfolio of technological solutions. Our global presence spans 41 countries and encompasses 44 languages.
Motivated by a shared entrepreneurial spirit, we empower our clients to revolutionize their business models through agile digital innovation and co-creation for a better future.
We believe that technology holds the key to unlocking company potential and that innovation is essential for driving growth, development, and competitiveness.
Unlocking Talent Potential
We value new ideas and the power of an open mind, recognizing that every talent is crucial to the quality of our projects and our collective progress.
Our adaptability allows us to invest in cutting-edge technology while maintaining flexibility to meet the evolving needs of our clients.
Join Our Innovative Team
We are seeking an enthusiastic and motivated Junior Data Scientist to join our innovative team.
This opportunity offers an excellent chance for someone eager to learn, grow, and contribute to impactful data-driven projects in a collaborative environment.
Responsibilities:
* Work with tabular data for analysis and visualization using tools like pandas and PySpark.
* Develop insightful plots and dashboards to effectively communicate data findings.
* Design and evaluate classification and regression models using appropriate metrics.
* Collaborate with the team to solve business problems and gain hands-on experience in data workflows.
* Utilize NLP and LLM technologies to tackle complex business challenges.
Requirements:
* Proficiency in Python, pandas, PySpark, and data visualization libraries.
* Understanding of classification and regression models, along with their evaluation metrics.
* Enthusiasm for learning NLP and working with Large Language Models (LLMs).
* Strong willingness to learn, adapt, and collaborate in a team-oriented environment.
* Advanced English proficiency (Mandatory).
Additional Information:
* Contract Model: PJ.
* Paid vacation.