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Data Scientist Junior

Deutsche Telekom Services Europe Slovakia s.r.o.

Information about the position

  • Place of work: Remote work
  • Basic wage component (gross) and other rewards: 1 200 EUR/month
  • Start date: ASAP
  • Contract type: full-time

Job description, responsibilities and duties

• You will be applying machine learning approaches like analyzing and visualizing data in Python to provide business insights for internal customers of the Deutsche Telekom group
• You will prepare training & evaluation pipelines and apply state of the art Machine Learning approaches to improve processes in Finance (Controlling, Treasury, Accounting), Procurement, HR, and others
• You will contribute in designing & implementing prototypes of innovative ML applications in Python – our usual projects are in the areas of Time Series, NLP, Classification, Visualization
• You will cooperate with the business side including your active contribution in customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant’s mindset
• You will participate in team brainstorming sessions, code reviews, and pair programming sessions
• Depending on the use case, you will have the opportunity to work with a variety of tools and technologies like SAP, Scikit-learn, Keras, Spacy, Docker, Kubernetes, Flask or Tesseract and BI dashboarding tools like MicroStrategy, Qlik, Tableau, … knowledge of these is helpful
• You will have the chance to identify possible use cases for automation and data science, innovative ideas are welcome

The salary for this position is from 1200 EUR gross.
The published salary is the minimum possible offer. The starting salary may be higher depending on the extent of fulfillment of the employee's requirements (education, language skills, required practice, personality assumptions and skills).

Employee perks, benefits

• Annual bonus
• Fully paid meal vouchers
• Phone and notebook for personal use
• Discounts for selected Telekom products
• Supplementary pension saving contribution
• Cafeteria system of benefits/Multisport card
• Personal days
• Sports club & Health days
• Teambuildings, summer & Christmas party
• Opportunities for career growth
• Referral program
• Flexible working time
• Benefits for parents (contribution at the child´s birth, mobile phone during maternity leave)

Requirements for the employee

Candidates with education suit the position

University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)

Language skills

English - Upper intermediate (B2)

Personality requirements and skills

Competence Profile
• Language: Fluent written and spoken English, German skills would be an advantage
• Education in the IT field would be beneficial
• Working experience with Data Science projects, preferably with Time Series forecasting, is an advantage
• You are good at coding in Python
• We work with Jupyter Notebook, SAP and SAP HANA studio, experience with these tools is more than welcome but not necessary
• You are aware of and willing to apply Agile methodology (Scrum, XP, Kanban, etc.)
• You are not afraid to ask questions when something is not clear or point out when something seems inefficient to you
• You are an analytical thinker, have an affinity for structure, grasp things fast and work systematically
• You can develop working solutions quickly and you get things done

Interpersonal Skills
• Proactivity towards customer service is essential.
• Flexible and responsive to changing work patterns and demands
• A thorough and methodical approach to work
• Highly developed skills in interpersonal communication
• Knowledge sharing – active contributor.

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Brief description of the company

Processing of selected parts of accounting for the T-Systems and Deutsche Telekom subsidiaries in Germany, Austria, Switzerland, UK, Spain, Portugal, France, Belgium, Italy, the Netherlands, Hungary. Processing of selected tasks within procurement area for companies belonging to Deutsche Telekom group.

Number of employees

500-999 employees

Contact

Contact person: Dominika Ondrušová
E-mail: send CV