Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Frankfurt
- Working Model
- Hybrid
Job Technologies
Your role in the team
- Core areas of focus for our Data Science & Analytics group includes is on Customer Intelligence (segmentation, behavior analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data
- Analyzes 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
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Our expectations of you
Qualifications
- 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
- 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
- Flexibility and the willingness to travel are required for this role, as you might need to spend on-site with our clients
- Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, processing, marketing automation etc.)
- Solid knowledge of software engineering principles & deployment methods (preferably in cloud environments)
- Fluent in German (verbal and written, business environment, complex concepts) and English
Experience
- Relevant years of professional experience working as a data scientist
- 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
- Experience in agile methodology (scrum) and relevant tools (confluence, jira, git)
- Experience working in cross-cultural and cross-disciplinary teams
- Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP 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)
- Industry experience in the automotive, logistics, finance or energy sector
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Job Locations
This is your employer
Sapient GmbH
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way 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.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication