Description
As a Manager of Data Science at Publicis Sapient in the DACH region, you will assume a technical leadership role in our innovative projects, spearheading initiatives related to customer intelligence, generative AI, language modelling, and personalization. Often leading small project teams by example, you will be responsible for the end-to-end data science lifecycle, from conception to successful production deployment. In this client-facing capacity, you will leverage your technical prowess in machine learning and cloud technologies, providing strategic guidance and driving technical excellence.
Your Impact
- Lead and mentor small project teams, fostering a collaborative and innovative environment
- Take ownership of project outcomes, ensuring they align with client expectations and internal standards
- Lead the development and implementation of advanced machine learning models, ensuring a high standard of technical excellence
- Design, implement and provide guidance on ML engineering workflows, streamlining the deployment of models and systems to production for optimal efficiency
- Collaborate closely with clients, understanding their unique needs and challenges
- Drive the creation of compelling value propositions and client proposals, showcasing the substantial business impact of our data science solutions.
- Innovation and Knowledge Leadership
- Actively contribute to internal data and AI forums, providing thought leadership and fostering knowledge sharing
- Stay at the forefront of industry trends, ensuring our solutions remain innovative
Want more jobs like this?
Get Data and Analytics jobs in Cologne, Germany delivered to your inbox every week.
Qualifications
Benefits of working here
- We work with cutting-edge technology which has always been part of our DNA and we want our employees to define what technologies our clients use next
- We provide many learning opportunities to deepen your skillset and to support your professional growth
- We offer numerous discounts on travel, cultural and leisure activities.
- We put the well-being of our people first and organize various health initiatives
- We offer you a vibrant workplace culture with many different community events throughout the year
Additional Information
Publicis Sapient is a digital transformation partner helping established organizations get digitally enabled, both in the way they work and how they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices worldwide, our experience spanning technology, data sciences, consulting, and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com.
Company Description
As a Manager of Data Science at Publicis Sapient in the DACH region, you will assume a technical leadership role in our innovative projects, spearheading initiatives related to customer intelligence, generative AI, language modelling, and personalization. Often leading small project teams by example, you will be responsible for the end-to-end data science lifecycle, from conception to successful production deployment. In this client-facing capacity, you will leverage your technical prowess in machine learning and cloud technologies, providing strategic guidance and driving technical excellence.
Your Impact
- Lead and mentor small project teams, fostering a collaborative and innovative environment
- Take ownership of project outcomes, ensuring they align with client expectations and internal standards
- Lead the development and implementation of advanced machine learning models, ensuring a high standard of technical excellence
- Design, implement and provide guidance on ML engineering workflows, streamlining the deployment of models and systems to production for optimal efficiency
- Collaborate closely with clients, understanding their unique needs and challenges
- Drive the creation of compelling value propositions and client proposals, showcasing the substantial business impact of our data science solutions.
- Innovation and Knowledge Leadership
- Actively contribute to internal data and AI forums, providing thought leadership and fostering knowledge sharing
- Stay at the forefront of industry trends, ensuring our solutions remain innovative