Data Scientist @ Deutsche Telekom

buscojobs España; Granada; Híbrido; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

Una empresa líder en soluciones integradas busca un Data Scientist para su departamento de Customer Experience. El rol se centrará en el desarrollo de soluciones innovadoras mediante machine learning y la automatización de procesos. Se ofrece un ambiente dinámico con oportunidades de crecimiento personal y profesional, así como un modelo de trabajo híbrido que combina teletrabajo y asistencia presencial.

Servicios

Seguro médico

Tickets de restaurante

Plan de compensación flexible

Formación continua

Más de 26 días de vacaciones

Formación

• Experiencia profesional en machine learning y análisis avanzado.
• Conocimientos en ingeniería de datos (ETL, validación, análisis).
• Experiencia desarrollando modelos ML en Python.

Responsabilidades

• Desarrollar enfoques de machine learning para identificar problemas en la red de radio.
• Integrar soluciones en una plataforma de automatización de extremo a extremo.
• Crear modelos de datos sostenibles y efectivos.

Conocimientos

Machine Learning

Python

Big Data

SQL

Hadoop

Herramientas

Elastic Search

Linux-Shell

PySpark

Descripción del empleo

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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.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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