Data Scientist (m/w/d)

Your main tasks will be in the areas of data mining, operationalization of analytical models and the design of new data science applications throughout the company. They analyze and optimize the success of sales measures in the existing customer environment across all channels, and use precisely tailored machine learning methods to provide forecasts with which central assets of the company can be controlled in advance. You will also use your expertise to expand the fields of application of analytical models and support the introduction and operationalization through a deep understanding of the data, business partners and technical systems involved.

• You develop and operate analytical models that optimize sales measures in the area of ​​existing customer management based on data.
• You will work intensively with business partners from across the organization to create new use cases for analytical models and data analysis.
• They ensure that the performance measurement of the algorithms used is integrated into the existing reporting landscape.
• Your tasks will also include carrying out ad hoc analyzes to support various business partners and deriving strategic recommendations for action for management.

You should bring that with you

In addition to a degree in statistics, computer science, physics or a comparable course, you already have initial practical experience in the development and operationalization of data science artifacts, ideally in the CRM environment:

• You have an excellent feel for figures and data, but you also understand the specialist areas and business relationships and are able to prepare and communicate analysis results in an easily understandable way.
• You also have professional experience in the fields of data science, customer intelligence or data mining.
• You have confident handling of at least one programming language from the data science environment, preferably Python (or R, SAS) and can demonstrate experience with SQL for complex analyses.
• Furthermore, you ideally have experience in the collaborative development of software artifacts via Git, SVN or similar, as well as in the implementation of suitable quality measures to increase code quality and resilience (e.g. unit tests) of existing artifacts.
• At best, you already had points of contact with analytical data modeling and processing as well as knowledge of technical infrastructures.
• A structured and analytical working style, combined with a high level of commitment and self-responsibility as well as fun in teamwork complete your profile.

competencies

Key Skills

• Experience in data science
• Very good knowledge of one of the programming languages ​​Python/R/SAS or comparable
• Advantage: Experience in IT and/or telecommunications
• Understanding of telecom processes/KPIs