Within the department “Global Contact Center Management”, the Data Scientist is part of the team “Business Development & Digitalization”. The digitalization part of the team is responsible for developing a data & digitalization strategy and manages, develops and implements use cases within the Customer Assistance Center (CAC) or other global Customer Contact Centers (CCCs).
The Data Scientist is responsible for developing and maintaining data science use cases which have been defined in the data science strategy. He/she uses available data sources, like the own data warehouse (DWH) or the Daimler data lake. The use cases aim to improve and/or automate call center processes to reach efficiencies and/or contribute to customer satisfaction. He/she works closely together with the Product Manager Data Science and the corresponding data scientist in the IT department. The Data Scientist supports in rolling out the developed use cases to the CAC or other CCCs. He/she also works together with the Data Steward to ensure that data quality is on the right level.
• Supports the development of the data science strategy together with the department managers and the Product Manager Data Science
• Prepare the data for the data science use cases
• Make use of the local DWH and the global Daimler Data Lake
• Participation in definition of the technical architecture of the data science solution in cooperation with the data scientists/other architects of the contact center eco-system
• Maintain and co-develop the data science use cases
• Select and prepare the relevant datasets, and co-develop and maintain machine-learning models with delivering optimal quality
• Demonstrate ability to understand complex problems, in order to identify the best approach for analyzing and preparing the data or to troubleshoot problems and add operational value to the CAc
• Roll out developed data science products to business functions or CAC/CCC Operations based on agreed timelines together with the Product Owner Data Science
• Evaluate new and emerging technologies together with the Product Owner Data Science
• Train and guide the Junior Data Scientist
• Master in the area of Computer Science, Econometrics, Knowledge Engineering or equivalent
• Min. 5 years of relevant professional experience in similar functions
• Knowledge of and experience with Data Engineering and ETL tools
• Knowledge of and experience with at least one of the advanced analytics tools (R, Python, Julia)
• Ideally knowledge of and experience with Azure Data lake technology
• Ideally experience with data visualization tools
• Hands-on mind set and critical attitude
• Curious about data, eager to explore, with great problem solving capabilities.
• Good communication skills
• Fluent in English
• Enthusiastic about the automotive industry
• Willingness to participate in a stand-by schedule
• Able to work independently with limited work instructions
• Ideally experience with the agile way of working
Depending on your experience, this role will be rated in scale 7 or 8.
Does this role fit your expectations for a new challenge, then please use the “apply” button to upload your CV and Letter of Motivation (English only) and any other documentation that adds value to your application. You can respond to the vacancy until April 30, 2020.
We are still recruiting. However, please expect a longer time when awaiting a response.Thank you for your understanding.
For more information about this vacancy please contact Manon Gosler-Bongaerts by email: manon.gosler-bongaerts@daimler.com