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Senior Data Scientist

Job summary
Permanent contract
Salary: Not specified
Occasional remote
Experience: > 4 years
Education: PhD or more
Skills & expertise
Generated content
Data visualization
Version control systems
Problem-solving skills

Ask for the moon
Ask for the moon

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The position

Job description

At Ask for the Moon, we are in love with highly sensitive industrial sectors: energy, aerospace, infrastructure… Here, data is not just complex; it’s critical and highly sensitive. Our goal is to build the benchmark knowledge-sharing platform for these environments.

Your role will focus on developing, fine-tuning, and integrating state-of-the-art NLP models that can navigate and process complex, critical information. Reporting to Alexandre Storelli (CTO), you’ll ensure that these models enhance our platform’s capabilities while adhering to the highest standards of accuracy & security.

If you’re experienced in NLP and passionate about applying your skills to core-business, high-stakes use-cases, we’d like to meet you.

Preferred experience

  • Proven experience (5+ years) as a Data Scientist, with a specific focus on AI, machine learning, or statistical analysis. Experience with Generative AI and Large Language Models is highly desired.

  • Proficiency in Python and relevant data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).

  • Proven experience with natural language processing (NLP) techniques and frameworks, and an understanding of their application within Generative AI contexts.

  • Experience with data visualization tools and techniques to effectively communicate findings and insights.

  • Strong understanding of RESTful API integration for model deployment.

  • Experience with version control systems (e.g., Git) and understanding of CI/CD pipelines in a data science context.

  • Talent to write clean, maintainable, and efficient code.

  • Experience in insuring security and data protection by design.

  • Strong problem-solving skills and a passion for working on complex industrial problems.

Recruitment process

  • 30min intro call with CTO : do we fit ?

  • Technical test (asyncrhonous)

  • 60min+ technical test delivery (IRL)

  • Interviews with CEO & other key people

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