Manager Data Science (all genders)

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

In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of business intelligence, advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for Data Science work, focusing on how the customer experience and understanding can be improved to ultimately help our client’s business growth.

As an evangelist for Analytics, you will partner with leaders in various divisions, industries and geographies in order to ensure that increasingly more solutions we bring to the market are data and insight-driven whilst helping to identify new business opportunities and account growth.

Your Impact

• Core areas of focus for our Data Science & Analytics group includes is on Customer Intelligence (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data
• Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments  
• You’ll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them
• You’ll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on
• You’ll define relevant KPIs, design tracking concepts for web data, ensure data sourcing, monitor and analyze data with state-of-the-art web analytics tools
• You’ll build comprehensive dashboards for business users and management level to generate data-driven insights for their businesses
• You’ll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, personalization, recommenders, pricing etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.)
• You’ll help us establish standards in statistical analysis, machine learning and data visualization to ensure projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal)consistency across

Qualifications

Your Experience & Skills

• Passionate about AI and data to transform business models with a passion for AI and data and have a thirst to continually learn and keep pace with the latest innovations and applications
• Relevant years of professional experience working as a data scientist
• Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI), statistics and some machine learning using programming languages like Python, SQL and relational data modelling
• Experience with Languages, Frameworks and Services like Python, R, Azure, AWS, and Google Cloud, as well as database technologies (SQL and/or Graph)
• Experience working in a client-facing, (ideally) consulting role, having great written and verbal communication skills and the ability to work closely with stakeholders, or having been part of a project team
• Flexibility and the willingness to travel are required for this role, as you might need to spend on-site with our clients
• Experience in agile methodology (scrum) and relevant tools (confluence, jira, git)
• Experience working in cross-cultural and cross-disciplinary teams

Set Yourself Apart With

• Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP etc.
• Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation etc.)
• Experience in production environments for Machine Learning products incl., knowledge of the tools that a needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes)
• Solid knowledge of software engineering principles & deployment methods (preferably in cloud environments)
• Industry experience in the Automotive, Logistics, Finance or Energy sector
• Fluent in German (verbal and written, business environment, complex concepts) and English

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