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About the Role
As a Manager Data Scientist, you will play a central role in the design, delivery, and scaling of AI projects for clients, reporting to the CTO. You will lead end-to-end client projects, ensure technical excellence through best practices, support solution design, and serve as the technical reference for clients. You will also develop trusted client relationships and interact with C-level and operational teams.
Responsibilities
- Lead end-to-end client projects from framing use cases to implementing AI solutions.
- Ensure technical excellence by promoting software engineering and MLOps best practices for scalable solutions.
- Support solution design by challenging business requirements, validating data availability, and selecting appropriate methodologies.
- Act as the technical reference for clients, explaining AI approaches and providing recommendations.
- Develop trusted client relationships by interacting with C-level and operational teams.
- Manage the country's data science team, including staffing, well-being, mentoring, and career development.
- Help define the team's career framework and participate in performance reviews.
- Drive innovation to improve Artefact's data science team.
- Contribute to testing and implementing advanced AI approaches and emerging techniques.
- Drive initiatives to build internal accelerators and reusable tools.
- Maintain an active technology watch to evaluate emerging tools and services.
- Share knowledge through workshops, training, and documentation.
- Lead by example with technical rigor and problem-solving skills.
- Provide constructive feedback to team members.
- Anticipate risks and unblock teams to ensure project progress.
- Balance ambition and feasibility in solution design.
- Foster collaboration between data scientists, data engineers, and business teams.
Requirements
- 5+ years of hands-on experience developing data-driven solutions.
- Strong knowledge in applied machine learning and generative AI.
- Solid understanding of software engineering and MLOps best practices.
- Experience with industrializing AI workflows in cloud environments.
- Ability to lead teams, manage stakeholders, and deliver impactful projects in a business context.
- Intellectual curiosity and excellent problem-solving skills.
- Pragmatism and creativity in tackling challenges.
- Ability to support growth, mentor juniors, and constructively challenge seniors.
- Ability to earn trust from both peers and business stakeholders.
Skills
- Data Science
- AI
- Machine Learning
- Generative AI
- Software Engineering
- MLOps
- Cloud Environments
- Team Leadership
- Stakeholder Management
- Project Delivery
- Problem-Solving
- Mentoring
- Coaching
Location
- Paris
Work Type
- Full-time
Experience Level
- Manager
- 5+ years
About the Company
- Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe.
- Headquartered in Paris, we are present in 23 countries with a team of 1,700 employees.
- Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions.
- We combine technological expertise with operational excellence.
- Our clients span all key economic sectors including industry, retail, luxury, consumer goods, healthcare, and finance.
- We are committed to making AI ethical and accessible.
- We launched the Artefact School of Data and established AI Research Centers in Paris and Shanghai.
Equal Opportunity
- We recruit our employees solely 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.