Auf einen Blick
- Aufgaben: Lead innovative data science projects and mentor small teams in a collaborative environment.
- Arbeitgeber: Join Publicis Sapient, a digital transformation leader with 20,000+ employees worldwide.
- Mitarbeitervorteile: Enjoy learning opportunities, discounts on activities, health initiatives, and a vibrant workplace culture.
- Warum dieser Job: Make an impact with cutting-edge technology while fostering creativity and collaboration.
- Gewünschte Qualifikationen: Fluent in German and English, with a strong background in data science and machine learning.
- Andere Informationen: Be part of a community that values curiosity and relentless innovation.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
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.
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.
Qualifications
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.
Set Yourself Apart With
- Exceptional ML engineering knowledge, showcasing the ability to streamline model deployment and manage complex ML workflows.
- Contributions to thought leadership and knowledge sharing within the data science community.
Additional Information
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.
Manager Data Science - German speaking Arbeitgeber: Sapient GmbH
Kontaktperson:
Sapient GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Manager Data Science - German speaking
✨Tip Number 1
Make sure to showcase your leadership skills in data science projects. Highlight any experience where you've led teams or mentored others, as this role emphasizes technical leadership and collaboration.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning and cloud technologies. Being able to discuss recent advancements or innovative solutions during your interactions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully taken data science models into production. This will demonstrate your hands-on experience and ability to deliver results that align with client expectations.
✨Tip Number 4
Since fluency in German is required, practice articulating complex data science concepts in German. This will help you communicate effectively with clients and show your readiness for a client-facing role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Manager Data Science - German speaking
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly your leadership roles and technical skills in machine learning, cloud technologies, SQL, and Python. Use specific examples that demonstrate your ability to lead projects and mentor teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for digital transformation and how your background aligns with Publicis Sapient's mission. Highlight your experience in customer intelligence and generative AI, and explain how you can contribute to their innovative projects.
Showcase Your Technical Proficiency: Be sure to mention any relevant projects or systems you've taken into production. Discuss your familiarity with collaborative development tools and practices, as well as your approach to simplifying complex analyses for clients.
Demonstrate Language Skills: Since fluency in German is required, ensure that your application materials are polished in both German and English. If possible, include examples of your communication skills in a business context, especially when dealing with complex concepts.
Wie du dich auf ein Vorstellungsgespräch bei Sapient GmbH vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning, cloud technologies, SQL, and Python. Highlight specific projects where you led the development of advanced models and how you ensured their successful deployment.
✨Demonstrate Leadership Skills
Since this role involves leading small project teams, share examples of how you've mentored others and fostered a collaborative environment. Discuss your approach to taking ownership of project outcomes and aligning them with client expectations.
✨Communicate Clearly and Effectively
Your ability to simplify complex analyses is crucial. Practice explaining your past projects in a way that is easy to understand, focusing on the impact of your work. Be ready to present your ideas clearly in both German and English.
✨Stay Updated on Industry Trends
Show your passion for data science by discussing recent trends or innovations in the field. Mention any contributions you've made to internal forums or knowledge-sharing initiatives, as this demonstrates your commitment to thought leadership.