Data Scientist Engineer M/V/X

WERAANBIEDING UIT EEN ANDERE REGIO; Diegem; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Devoteam is seeking a Data Scientist/Engineer in Belgium to build and optimize data platforms and ML solutions for diverse client projects. You will design data pipelines, select suitable models, and deliver end-to-end data products.

You’ll collaborate with clients and cross-functional teams, applying cloud technologies and Databricks to unlock actionable insights. This role offers hands-on experience across industries and time-bound deliveries.

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

Cloud platforms

Databricks

Data platform design

Data management

ML modeling

Client collaboration

Outils

Databricks

Azure

AWS

Google Cloud

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.