Data Scientist @ Deutsche Telekom
Granada, AN, Spain
T-Systems International
Company Description
At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different points of view, who accept challenges and continuous learning, to grow and impact society… All this, in a fun way!
It doesn't matter when or where you work. It's about doing work that matters to move society forward. For this reason, we will do everything possible to ensure that you have every opportunity to develop by offering you a support network, excellent technology, a new work environment and the freedom to work independently. We support you to constantly grow both personally and professionally, so that you can leave a notable mark on society.
T-Systems is a team of around 28,000 people employed around the world, making us one of the world's leading providers of integrated end-to-end solutions. We develop hybrid cloud and artificial intelligence solutions and drive the digital transformation of companies, industry, the public sector and, ultimately, society as a whole.
Job Description
Project description:
In the department of 'Customer Experience' we are responsible to keep the quality of our mobile network throughout Germany at the highest level and to always be one step ahead of the competition. To reach this target we focus on the digitalization and professional end-to-end automation of our business processes and implement new, innovative solution approaches (machine learning, AI, ...) to increase the quality for our customers.
Activity description and concrete tasks:
• Development of machine learning approaches to identify problems in the radio network, find the best solution to solve the issue, implement the neccessary changes and finally success verification (eg. ML /AI, Python, ETL)
• Integrate solutions in an End-to-End autmation plattform to solve nation wide mobile network problems
• Development of sustainable and effective data models
• Development of evaluation and control tools for different data sources to provide required data sets
• Developing innovative and data-driven solutions that provide tangible added value for our customers and our internal interfaces in mobile radio and service context
• Realize interfaces and data connection
• automated provision and pre-processing of various data sets
Qualifications
Skill requirements:
• Professional experiences in advanced analytics, machine learning or AI
• Enhances experiences in Data Engineering (ETL, validation, analysis, deductions)
• Big Data skills in Elastic Search, SQL, Python, Hadoop, PySpark, Linux-Shell
• Expert knowledge in automated provisioning and pre-processing of various data sets
• Experienced in developing ML models in Python and technical and methodological aspects of running ML models in production
Nice to have:
• Deep experiences in DevOps tools for automation solutions (Git, CI/CD, Docker, Kubernetes, Virtualization, Cloud environments, …)
Additional Information
What do we offer you?
- International, positive, dynamic and motivated work environment.
- Hybrid work model (telecommuting/on-site).
- Flexible schedule.
- Continuous training: Certification preparation, access to Coursera, weekly English and German classes...
- Flexible compensation plan: medical insurance, restaurant tickets, day care, transportation allowances...
- Life and accident insurance.
- More than 26 working days of vacation per year.
- Social fund.
- Free service in specialists (doctors, physiotherapists, nutritionists, psychologists, lawyers...).
- 100% of salary in case of medical leave.
And many more advantages of being part of T-Systems!
If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!
T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data CI/CD CX DevOps Docker Engineering ETL Git Hadoop Kubernetes Linux Machine Learning ML models PySpark Python SQL
Perks/benefits: Career development Flex hours Flex vacation Medical leave
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