Senior Associate Data Science - German Speaking

  • Full Time
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Company Description

Publicis Sapient is a digital transformation partner aiding established organizations in becoming digitally capable, in terms of their operations and their customer service. We facilitate value unlocking through the adoption of a start-up mindset and modern methodologies, blending strategy, consulting, and customer experience with agile engineering and creative problem-solving.

Being digital pioneers with 20,000 personnel and 53 offices globally, our expertise encompasses technology, data sciences, consulting, and customer obsession. Combined with our culture of curiosity and relentlessness, this allows us to accelerate our clients' businesses by designing products and services that their customers greatly value. Publicis Sapient is the digital business transformation hub of the Publicis Groupe. For more information, visit .

Job Description

In this position, you will contribute to advancing the Data Science practice and play a crucial role in promoting the application of advanced data analytics and machine learning as a fundamental component of our market offerings. You will assist in project delivery for machine learning work, focusing on enhancing the customer experience and understanding to ultimately support our clients' business growth.

In addition, you will collaborate with individuals across various divisions, industries, and geographies to ensure a growing number of solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth.

Your Impact

  • Key focus areas for our Data Science & Analytics group include Customer Analytics (segmentation, behavior analysis, personalization, recommender systems, forecasting) using 1st party, 3rd party, and various types of external data
  • Analysis 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 issues 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 be heavily engaged in customer analytics, delving into 1st and 3rd party data to measure, analyze and activate digital customer behavior
  • You’ll construct comprehensive dashboards for business users and management levels to produce data-driven insights for their businesses
  • You’ll employ advanced analytics and statistical methods to prepare and examine data for (predictive) modeling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on, but not limited to, customer data (also vehicle data, product data, POS data etc.)
  • You’ll assist in setting standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal)

Qualifications

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 (, Processing, marketing automation etc.)
  • Experience in production environments for Machine Learning products incl., knowledge of tools required for model deployment and lifecycle management in ML engineering (Docker, Kubernetes)
  • Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI)
  • Knowledge of software engineering principles & deployment methods (preferably in cloud environments)
  • Industry experience in the Automotive, Healthcare, Logistics, Financial Services, or Energy & Commodities sector
  • Fluency in German (verbal and written, business environment, complex concepts) and English

Additional Information

Benefits of working here:

  • We work with state-of-the-art technology, which has always been part of our DNA and we empower our employees to determine the technologies our clients will utilize next
  • We offer numerous learning opportunities to enhance your skills and support your professional development
  • We provide various discounts on travel, cultural, and recreational activities
  • We prioritize our employees' well-being and organize several health initiatives
  • We offer a dynamic workplace culture with many different community events throughout the year

As part of our commitment to an inclusive and diverse workforce, Publicis Sapient is an Equal Employment Opportunity employer, providing employment opportunities without regard for race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.