Senior Associate Data Science - German speaking

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 Senior Associate, Data Science at Publicis Sapient in the DACH region, you will play a pivotal role in our cutting-edge projects, focusing on customer intelligence, generative AI, language modeling, and personalization. Your responsibilities will encompass the entire data science lifecycle, from ideation to production deployment. In this client-facing role, you will leverage your technical expertise in machine learning and cloud technologies while fostering a consulting mindset to contribute to internal and client-oriented- initiatives.
Your Impact

• Contribute to developing and implementing machine learning models, ensuring a high level of technical depth and proficiency in Python.
• Apply ML engineering skills to enhance the efficiency of deploying models and systems to production, ensuring technical excellence throughout the process.
• Collaborate with clients to understand their needs and challenges, providing data-driven solutions.
• Contribute to creating value propositions and client proposals, showcasing the tangible business impact of our data science solutions.
• Innovation and Knowledge Sharing
• Enthusiastically participate in internal data and AI forums, sharing insights and contributing to the collective knowledge base.
• Stay at the forefront of industry trends, ensuring our solutions remain innovative.

Qualifications

Your Skills & Experience

• Quantitative educational background, preferably in a field related to data science, e.g. Computer Science, Statistics, Mathematics, Engineering, or similar fields.
• a few years of full-time professional work experience in Data Science roles.
• Strong technical proficiency in machine learning, cloud technologies, SQL, and Python.
• Experience in collaborative development tools and practices, e.g. peer code reviews and version control (Git).
• Proven experience 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.
• Ability to work independently and in a team.
• A demonstrated willingness to learn.
• Fluent in German (verbal and written, business environment, complex concepts) and English

Set yourself apart with

• ML engineering skills, demonstrating the ability to streamline model deployment and manage complex ML workflows.
• Previous consulting experience with a client-focused mindset.

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 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.