Senior Data Scientist

Main mission:

Design, develop, and implement AI\- and machine learning\-based models and solutions to enrich the content and products of LexisNexis France, a leader in legal information.

Key responsibilities:

\- Define and implement predictive models and advanced algorithms (NLP, classification, ranking, clustering).

\- Leverage complex data (legal texts, metadata, usage logs) to create innovative solutions.

\- Ensure the quality and robustness of models in production (testing, monitoring, optimization).

\- Collaborate with the Product, Development, and Editorial teams to translate business needs into data\-driven solutions.

\- Participate in technology monitoring and the improvement of data science practices.

Detailed activities:

\- Data collection, cleaning, and preparation

\- Model design and training (machine learning, deep learning, LLMs)

\- Performance evaluation and hyperparameter tuning

\- Presentation of experiment results

\- Deployment of models in a cloud environment (AWS) with CI/CD

\- Technical documentation and knowledge transfer to the team

\- Contribution to applied research and POC projects

Required skills:

\- Technical: Python (pandas, scikit\-learn, PyTorch/TensorFlow). NLP (transformers, embeddings, LLMs). Cloud (AWS), CI/CD pipelines. Databases (SQL, NoSQL).

\- Methodological: Proficiency in best practices for development and versioning. Knowledge of microservices\-oriented architectures and APIs.

\- Behavioral: Analytical and rigorous mindset. Ability to work in a team and communicate with a variety of people. Curiosity and a taste for innovation.

Experience:

Minimum 5 years in Data Science, including significant experience in NLP and model deployment in production.

Education:

Master's degree or PhD in Data Science, Computer Science, Applied Mathematics, or a similar field.

Expected skills:

\- Ability to work independently on data science projects.

\- Ability to explain technical concepts to non\-specialists.

\- Ability to propose ideas for improving products and processes.

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