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Online Editor / Content Manager

Are you familiar with the tasks and processes of an online editorial team? Do you speak German like your mother tongue? And would you like to be part of a team that manages the HR intranet for Deutsche Telekom? If your answers to all these questions are “Yes”, we would be happy to get to know you.

Your responsibilities would include:

  • Maintaining and creating content in German and English language for the high-reach internal HR portal of Deutsche Telekom.
  • Writing headlines and long copy for HR topics from travel booking to salary conditions to health offers.
  • Coordinating the content with the product managers and advising them on the best possible presentation of their content in the HR portal.
  • Monitoring, analyzing traffic and developing optimization measures.
  • Working closely with the rest of the team and the editorial board.
  • Managing various content suppliers.

What we expect from you:

  • You hold a degree in humanities, journalism or communication studies or have similar academic qualifications.
  • You have experience in online editing and SEO.
  • You have an excellent command of the German language and a very good knowledge of the English language.
  • It would be perfect if you already have some experience in dealing with customers on a German service line.
  • CMS, tracking tools and social media management are no secrets for you.
  • You can switch quickly without losing the overview.
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HR Customer Interaction Specialist with German

Responsibilities:

• Acts as a supporter of Human Resources Service for Compensation & Benefits, Travel, Time Management, Employment and Placement areas focusing on customer service;
• Consults customers by phone for all Human Resources products;
• Demonstrates concern and empathy in all customer interactions;
• Processes electronically written requests (email, chat, AMS, SAP)
• Registers, classifies and finalizes customer orders in the order management system (AMS) or forwards them to the back office departments;
• Maintains close cooperation with the team leader, as well as, with the back office departments;
• Maintains process information documentation and procedures in the knowledge management system;
• Tracks and processes issues and service quality complaints and escalates the issues following the escalation procedure;
• Answers employees, managers or candidates inquiries using the Knowledge tools and the Contact Center available system;
• Suggests methods to update, simplify and enhance processes, procedures and technologies.

Ideal Candidate:

  • Language skills: German fluent, English knowledge
  • Minimum – bachelor’s degree
  • Knowledge in handling IV-systems (AMS, SAP, MS-Office)
  • Customer care experience and the ability to consistently deliver high quality customer service in a professional manner
  • Working independently
  • Team player, customer-focused attitude, own initiative, listening skills

Benefits:

• Opportunities to grow & develop in a start-up environment,
• Dynamic and multicultural working environment
• Great training opportunities
• Motivational financial package
• Meal tickets
• Medical insurance

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Data Scientist in Financial Applications

Ideal candidate:

  • University degree in fields of computer science, business administration with a strong focus on information technology or a quantitative degree in mathematics, statistics, engineering with an additional focus on informatics and business administration
  • Excellent understanding of data-driven statistical methods, data mining, time-series analysis and machine learning algorithms
  • Proven knowledge in software engineering and architectural design
  • Ability to lead a complex data science project
  • Good scripting, programming and database skills (e.g. relational databases, R, Python, TensorFlow, Apache software stack: Hadoop, Spark)
  • Languages: Fluent written and spoken English, German skills beneficial
  • Knowledge of SAP products (especially SAP BW, SAP Hana, SAP Predictive Analytics) is a strong plus

Responsibilities:

  • Exploring and developing new use cases for data science methods within different domains of financial applications (e.g. prognosis of cash flow)
  • Detailing business requirements and set up of project according to CRISP-DM standards
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results to management
  • Creating automated anomaly detection systems
  • Constant tracking and optimization of model performance
  • Coordination and communication with our internal IT service department

Benefits:

  • Motivational financial package
  • Meal tickets
  • Medical insurance
  • Opportunities to grow and develop in a start-up environment
  • Dynamic and multicultural working environment
  • Great training opportunities
  • Transportation
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