Senior Data Scientist

Key Responsibilities

• Develop and experiment with ML algorithms for recommendation engines, incorporating vector embeddings in Qdrant for personalized product suggestions based on user behavior and interests.
• Design NLP and reasoning models using open-source LLMs (e.g., Llama, Mistral) for chat-based discovery, such as handling complex queries or generating insightful responses like product comparisons.
• Perform exploratory data analysis (EDA), feature engineering, and A/B testing to optimize AI features.
• Write high-standard, production-grade code in Python, ensuring modularity, efficiency, and integration with backend systems via Golang APIs.
• Collaborate with ML Engineers and Data Engineers to translate prototypes into scalable solutions, using tools like Jupyter for experimentation and Airflow for data orchestration.
• Analyze model performance, identify biases, and implement ethical safeguards in AI systems.
• Stay updated on AI advancements and contribute to squad discussions on feature roadmaps.

Requirements

• 5-7 years of experience as a Data Scientist, with a focus on building AI models for recommendations, search, or NLP.
• Exceptional software development abilities, including Python (Pandas, Scikit-learn, NumPy), with emphasis on clean, documented code and best practices like unit testing and version control.
• Expertise in statistics, ML algorithms, and tools for vector search (e.g., Qdrant) and LLMs.
• Experience with data visualization and experimentation frameworks.
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or equivalent.
• Comfortable working in-person at our Le Marais office in Paris, with strong communication skills in English and French.

Nice-to-Haves

• Domain knowledge in books, media, or personalized content systems.
• Familiarity with Golang or mobile app data integrations.
• Publications or projects in NLP/LLMs.