Senior Data Scientist

Artefactlinkedin; France; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

Artefactlinkedin is looking for a Senior Data Scientist to design and scale AI solutions for clients. This role involves delivering end-to-end AI projects and mentoring junior data scientists.

The successful candidate will ensure technical excellence by implementing machine learning solutions while acting as a trusted advisor. A background in applied machine learning, software engineering, and cloud environments is required.

We value intellectual curiosity and structured problem-solving, ensuring client satisfaction through clear communication.

Qualifications

• 3+ years of hands-on experience developing and deploying data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience delivering AI projects in cloud environments.

Responsabilités

• Deliver end-to-end AI projects while maintaining technical excellence.
• Drive technical excellence by translating business requirements into AI solutions.
• Act as a trusted advisor for clients and teams, explaining AI approaches effectively.
• Contribute to team development by mentoring junior data scientists.

Connaissances

Applied machine learning

Generative AI

Software engineering practices

MLOps best practices

Cloud environments

Description du poste

What you will be doing - Key responsibilities

As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.

Your main responsibilities will include:

Delivering end-to-end AI projects

• Frame use cases with business teams, validate data availability, and define the right approach.
• Design and implement machine learning or generative AI solutions that create measurable business impact.
• Ensure solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.

Driving technical excellence

• Translate business requirements into robust AI pipelines and architectures.
• Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability.
• Explore and apply advanced AI techniques to solve complex client problems.

Being a trusted advisor for clients and teams

• Explain AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.
• Build strong relationships with client stakeholders, from operational teams to managers.
• Act as a go‑to expert for technical guidance within projects.

Contributing to team and knowledge development

• Mentor junior data scientists, provide feedback, and support their growth.
• Share best practices through workshops, documentation, and informal training sessions.
• Contribute to internal accelerators and tools to increase delivery efficiency across projects.
• Maintain active technology watch and bring new methods, tools, and frameworks into practice.

Qualifications - What we are looking for

• 3+ years of hands‑on experience developing and deploying data‑driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience delivering AI projects in cloud environments.

In addition to technical expertise, we value individuals who can:

• Show intellectual curiosity and structured problem‑solving.
• Approach challenges with pragmatism and creativity.
• Bridge the gap between business stakeholders and technical teams. Deliver with autonomy and reliability, ensuring client satisfaction. Share knowledge and mentor more junior colleagues. Build trust with clients through clear communication and rigor.

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.