About the Role
As a Senior Data Scientist at Artefact, your role will involve leading ambitious client projects in data transformation, collaborating across different divisions (Activation, Creativity, and Strategy) to deliver comprehensive services, and developing strong client relationships through your technical expertise in marketing department transformation. You will be responsible for securing project delivery, communicating your work, building client relationships, ensuring solutions provide value, and being a collaborative team player.
Responsibilities
- Conducting ambitious projects in the transformation of clients through data.
- Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients.
- Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department.
- Securing delivery on your projects.
- Communicating your work and achievements among the team.
- Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs.
- Ensuring that your solutions are bringing values to the client problematic.
- Being a good team player, knowing your role and responsibility in the global ambition.
- Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives.
- Researching and developing new technical approaches to address problems efficiently.
- Sharing best practices and contributing to Artefact’s institutional knowledge.
- Embodying Artefact’s values and inspiring others to do the same.
Requirements
- A Master's degree in machine learning, mathematics, computer science, or related fields.
- At least 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 knowledge of data processing, data modeling, algorithms, and data architecture.
- Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact.