Data Scientist

Résumé du poste
CDI
Paris
Salaire : 45K à 65K €
Télétravail fréquent
Expérience : > 1 an
Compétences & expertises
Contenu généré
Engagement des parties prenantes
Compétences en communication
Python

Ask for the moon
Ask for the moon

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Le poste

Descriptif du poste

🚀 Join Ask for the Moon’s adventure — Build the industry-specific AI of tomorrow!

Under the guidance of our Lead Data Scientist and as part of a passionate, supportive technical team, you’ll play a pivotal role in designing, developing and assuring the quality of the AI components in our product.

🔍 What you’ll work on:

  • 🧠 Generative AI, RAG, LLMs & Agentic AI – create robust AI assistants for critical industrial environments.

  • 🕸️ Knowledge mapping – model domain expertise via ontologies and knowledge graphs.

  • 🤝 Intelligent user matching – design high-impact matching algorithms.

  • 🧪 AI testing & monitoring – implement quality, reliability and usage metrics to guide product evolution.

Your main missions

  • Develop AI features in collaboration with the product, fullstack, and devops teams, in a multidisciplinary and stimulating environment.

  • Develop innovative algorithms and actively contribute to technical decisions: every idea can directly impact the evolution of our product!

  • Build and maintain monitoring tools to measure usage and guide development priorities.


Profil recherché

  • 🎯 Strong skills in Data Science: digital processing, statistics, NLP (vectorization, distance calculations, TF-IDF, NER, etc.).

  • 🚀 Deep interest in generative AI and LLMs / AI agents, staying up-to-date with state-of-the-art practices and models; LLMOps knowledge is a plus.

  • 🧪 Hybrid R&D / operational mindset: methodical, rigorous work and critical thinking, from the exploratory phase to the deployment in production.

  • 🐍 Proficient in Python, with an interest in good coding practices (tests, peer reviews, CI/CD, commented code, documentation…)

  • 🗣 Good communication skills, both written and oral: ability to present technical results clearly and convincingly while being audience-sensitive.

  • 🏭 Enthusiasm for engaging with industry stakeholders, sometimes directly with users, to understand their challenges.


Déroulement des entretiens

  • 30-minute call with the Lead Data Scientist

  • Technical assessment to complete independently at home

  • In-person interview to review the test and meet the team

  • Final interview with the CEO

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