Top Machine Learning Jobs in France

The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.

The Senior Manager, Total Rewards will develop a comprehensive total rewards strategy aligned with organizational goals, analyze compensation practices, manage executive compensation programs, oversee global benefits, and provide analytics to measure the effectiveness of rewards programs, ensuring competitiveness and compliance with relevant regulations.

As a Senior Data Scientist at Doctolib, you will enhance the AI phone assistant by improving speech-to-text and NLP capabilities. Responsibilities include model architecture development, data collection strategy design, model performance evaluation, and algorithm deployment. You will also engage in continuous refinement for improved user experience.

As a Data Scientist at Pernod-Ricard, you will apply data science methods and analytics to drive growth. You'll collaborate with a team including Data Scientists and Analysts to support digital solutions, optimize pricing, and enhance marketing spend allocation, leveraging AI and data to address market changes and improve consumer engagement.

The Lead Data Scientist will apply data science methods and analytics to support business growth at Pernod-Ricard. Key responsibilities include collaborating with data teams to build models, develop data pipelines, and leverage analytics capabilities, while also contributing to the Data Science community. Candidates should exhibit strong problem-solving skills, be results-oriented, and demonstrate effective communication.

As a Data Scientist at Pubstack, you'll optimize the monetization engine using advanced machine learning and data analysis techniques. You'll analyze datasets to uncover insights, document research progress, collaborate with engineers and product teams, and contribute to continuous R&D efforts that drive business impact and innovation.