Manager Data Science - German speaking

at  Publicis Sapient

Company Description
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.
Job 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 SKILLS AND EXPERIENCE

• Quantitative educational background, preferably in a field related to data science, e.g. Computer Science, Statistics, Mathematics, Engineering, or similar fields
• Extensive full-time experience in Data Science roles, with a proven background in leading and mentoring small data science project teams
• Ability to be hands-on independently, as part of senior teams, as well as leading small teams
• Demonstrated technical proficiency in machine learning, cloud technologies, SQL, and Python
• Expertise in collaborative development tools and practices, including peer code reviews and version control (Git)
• Track record of successfully taking multiple data science models/systems into production
• Attention to detail and excellent communication, presentation, and analytical skills; Ability to simplify complex analyses and make concrete recommendations
• A demonstrated willingness to learn
• Fluent in German (verbal and written, business environment, complex concepts) and English

Please refer the Job description for details