Data Analyst

Role Overview

Contribute to the identification, qualification, and prioritization of data science use cases in accordance with business priorities. Work in collaboration with Data, AI, and DevOps experts within Agile environments to design, develop, and optimize advanced machine learning, deep learning, and/or LLM models.

What You Will Do

Collect and prepare data, extract, clean, and organize data from various sources, ensure data quality and integrity, visualize and communicate, create clear and informative data visualizations, present results and recommendations to stakeholders in a comprehensible manner, and write technical and functional documentation associated with work.

Why It Might Be a Fit

Must have mastery of statistical methods and classical machine learning algorithms, data collection, treatment, and analysis from various sources and contexts, proficiency in development languages (Python, R, SQL), knowledge of machine/deep learning libraries (TensorFlow, PyTorch, Scikit-Learn), and knowledge of data responsible practices (ethics, regulations) and digital accessibility rules (RGAA).

Requirements

• Master’s degree in computer science (or statistics, mathematics, data science, artificial intelligence)
• Minimum of 6 years of experience, including 3 years as a Data Analyst
• Strong analytical skills
• Ability to understand problems and propose innovative solutions
• Ability to collaborate effectively with multidisciplinary teams
• Ability to adapt to advanced business contexts and understand their challenges and technologies

Benefits

• Salary between 40k and 50k euros

Tagged as: Data Analysis