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- Aufgaben: Lead innovative data science projects and mentor small teams in a collaborative environment.
- Arbeitgeber: Join Publicis Sapient, a digital transformation partner with a global presence and a culture of curiosity.
- Mitarbeitervorteile: Enjoy learning opportunities, discounts on activities, health initiatives, and a vibrant workplace culture.
- Warum dieser Job: Make a real impact with cutting-edge technology while driving client success and fostering innovation.
- Gewünschte Qualifikationen: Fluent in German and English, with a strong background in data science and machine learning.
- Andere Informationen: Be part of an inclusive workforce committed to equal opportunity and professional growth.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
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
- 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
- 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
As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.
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.
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Manager Data Science - German speaking Arbeitgeber: Publicis Sapient
Kontaktperson:
Publicis Sapient 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. Highlight any experience you have in mentoring teams or leading projects, 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 and how they can be applied to client projects will set you apart during interviews.
✨Tip Number 3
Prepare to discuss specific examples of successful data science projects you've led. Be ready to explain your role in the end-to-end lifecycle, from conception to deployment, as this is crucial for the position.
✨Tip Number 4
Since this role requires fluency in German, practice articulating complex data science concepts in both German and English. This will help you communicate effectively with clients and team members.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Manager Data Science - German speaking
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Manager Data Science position. Understand the key responsibilities and qualifications required, especially the emphasis on technical leadership and client interaction.
Highlight Relevant Experience: In your application, focus on your experience in leading data science projects and mentoring teams. Provide specific examples of how you've successfully taken models into production and your proficiency in machine learning and cloud technologies.
Showcase Communication Skills: Since the role requires excellent communication and presentation skills, include examples in your application that demonstrate your ability to simplify complex analyses and make concrete recommendations, particularly in a business context.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements of the job. Mention your fluency in German and English, and any contributions to thought leadership within the data science community that set you apart from other candidates.
Wie du dich auf ein Vorstellungsgespräch bei Publicis Sapient 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 and implementation of advanced models, demonstrating your technical prowess.
✨Demonstrate Leadership Skills
Since the role involves leading small project teams, share examples of how you've mentored team members and fostered a collaborative environment. Discuss your approach to taking ownership of project outcomes and aligning them with client expectations.
✨Understand Client Needs
Prepare to talk about your experience in client-facing roles. Show that you can effectively collaborate with clients by understanding their unique challenges and how your data science solutions can create substantial business impact.
✨Stay Current with Industry Trends
Express your commitment to staying at the forefront of industry trends in data science and AI. Share any contributions you've made to thought leadership or knowledge sharing within the data science community.
