Data Scientist

Role Overview

Design and develop predictive models applied to industrial and process data, leveraging Machine Learning, Deep Learning, and time series analysis. Collaborate with Data, IT, PMO, and business teams to address operational challenges.

What You Will Do

Develop prescriptive models to optimize operations, design hybrid models combining AI and domain expertise, and ensure the performance and robustness of deployed models.

Why It Might Be a Fit

Strong analytical mindset, collaboration and communication skills, and experience with Generative AI technologies and vector databases are required.

Requirements

• Strong knowledge of Machine Learning, Deep Learning, and time series analysis techniques
• Solid Python development and data manipulation skills
• Proficiency in model deployment and industrialization tools (Docker, Kubernetes, CI/CD, MLflow)
• Knowledge of mathematical optimization and decision-support techniques
• Experience with Generative AI technologies, RAG, LLMs, and vector databases
• Ability to explain complex technical topics to non-technical business stakeholders
• Strong analytical mindset, rigor, autonomy, and results-oriented approach
• Excellent collaboration and communication skills in cross-functional environments

Tagged as: Python