Data Scientist Engineer

Editx; Diegem; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Devoteam in Belgium is seeking a Data Scientist/Engineer to design and deliver data platforms and machine learning solutions across client projects. You will work hands-on on platform setup, data preparation and model development to drive tangible outcomes.

You will collaborate with clients for about half of your time, translating business needs into data-driven improvements. Proficiency with Azure, AWS, Google Cloud and Databricks is valued, along with Python-based ML skills.

Responsabilités

• Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks.
• Data Management: Gather, prepare, and manage data for analysis.
• Model Research: Investigate and select appropriate machine learning models.
• ML Modeling: Develop and refine machine learning models.
• Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team.

Connaissances

Azure

AWS

Google Cloud

Databricks

Python

Outils

Azure

AWS

Google Cloud

Databricks

Description du poste

Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. Each mission we undertake has clear deliverables and deadlines, ensuring you gain diverse experience. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model for a retail client.

Key Responsibilities:

• Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks.
• Data Management: Gather, prepare, and manage data for analysis.
• Model Research: Investigate and select appropriate machine learning models.
• ML Modeling: Develop and refine machine learning models.
• Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team.