Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Cologne
- Working Model
- Onsite
Job Technologies
Your role in the team
In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clientsu2019 business growth ultimately.Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth.nYour ImpactCore areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behavior analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external dataAnalyses of large data sets and applied insights to help create personalized customer
experiences across multiple sectors in digital environmentsYouu2019ll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve themYouu2019ll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-onYouu2019ll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviorYouu2019ll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businessesYouu2019ll employ advanced analytics and statistical methods to prepare and analyze 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.)Youu2019ll help us establish 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)
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Our expectations of you
Experience
Set Yourself Apart WithExperience 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)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 sectorFluent in German (verbal and written, business environment, complex concepts) and English
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Benefits
Work-Life-Integration
Job Locations
This is your employer
Publicis Groupe
Publicis Media is the world's second largest media agency network and part of the French communications group Publicis Groupe. As a global holding company, Publicis Media lives through its global agency brands Zenith, Starcom and Spark, which control and constantly develop customer business in strategic communications consulting in over 100 countries.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Advertising, Marketing, PR