Data Scientist Manager

LinkedIn Job Wrapping; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Artefact, une société de conseil et d'ingénierie en données et IA, recherche un Manager Data Scientist à Paris. Vous serez responsable de la gestion de l'équipe de Data Science, du développement des compétences et de la direction de projets innovants pour transformer les entreprises par les données. Rejoignez une équipe dynamique et contribuez à façonner l'avenir du marketing grâce à l'IA.

Prestations

Culture d'entreprise dynamique

Opportunités de développement professionnel

Environnement entrepreneurial

Qualifications

• Master requis dans un domaine pertinent.
• 5+ ans d'expérience en solutions basées sur les données.
• Connaissance approfondie des processus de données et des algorithmes.

Responsabilités

• Gérer l'équipe de Data Science et assurer le développement continu.
• Diriger des projets ambitieux de transformation des clients par les données.
• Développer des relations privilégiées avec les clients C-level.

Connaissances

Gestion de projet technique

Résolution de problèmes

Traitement de données

Modélisation de données

Architecture de données

Formation

Master en apprentissage automatique, mathématiques, informatique

Description du poste

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, 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 that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world's leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing : Key responsibilities

Reporting directly to the country Head of data & Technology, your role will encompass :

• Building the vision for the Data Science of the company and managing the data science team in a day to day role
• Playing a preponderant role in raising the level of competencies of the data science team
• Leading ambitious projects in the transformation of clients through data
• Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
• Developing privileged relationships with our clients' C-level executives, using your technical abilities to assist in the transformation of their marketing department, and ensuring that Artefact is their preferred partner in this endeavour

Among your responsibilities as Manager Data Scientist, you will be responsible for :

Managing the country's Data team

• Managing the resources to ensure challenges and skills are well matched
• Ensuring each individual's continuous development and well-being within the team
• Securing delivery on client projects
• Promoting the Division's brand, communicating its successes and results at country level (ex : through events and PR)
• Working with the managers of Consulting to build and maintain strong relationships with your clients and best understand their strategic and tactical needs

Developing Artefact's technical expertise

• Demonstrating the skill and credibility required to ensure the success of our clients' initiatives
• Researching and developing new technical approaches to address problems efficiently
• Working with Artefact's partners to understand and leverage the latest technologies
• Sharing best practices and contributing to Artefact's institutional knowledge

Being a great tech manager

• Leading by example, embodying Artefact's values and inspiring others to do the same
• Caring for the happiness of your team whilst guiding them to be the best they can be, ensuring work is delivered to a high standard and providing feedback and mentoring
• Knowing the role of a manager in a team's success

Qualifications : Education & experience required

• A Master's degree in machine learning, mathematics, computer science, or related fields
• 5+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
• Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture
• Experience managing a technical project in a business context
• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

What we are looking for

• A Doer : you get things done and inspire your teams to do the same
• An Analyst : you LOVE data and think every company should take their decisions with facts
• A Pragmatist : you have a hacker mindset and always find the quick wins
• A Mentor : your clients and teams naturally seek for advice
• An Adventurer : you're an entrepreneur constantly looking for problems to solve

Why you should join us

• Artefact is the place to be : come and build the future of marketing
• Progress : every day offers new challenges and new opportunities to learn
• Culture : join the best team you could ever imagine
• Entrepreneurship : you will be joining a team of driven entrepreneurs. We won't give up until we make a huge dent in this industry!

At Artefact, 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.