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CUF Data Scientist in Agile Team

Deutsche Telekom Services Europe Slovakia s.r.o.

Information about the position

  • Place of work: Košice
  • Basic wage component (gross) and other rewards: 1 800 EUR/month
  • Start date: ASAP
  • Contract type: full-time

Job description, responsibilities and duties

Purpose of the job:

The Data Scientist is part of the „A-Team“ (Automation team) in the Service Line Customer Finance International and responsible for Analysis and evaluation of complex data sets using Advanced Analytics methods on current data platforms, development of specifications for the provision and determination of data for logical data models and structures. On top of that the development of data models and control of model implementations are in your scope.

Job content:

• Analysing, assessing, and evaluating data structures and processes; developing viable and effective data models
• Using machine learning techniques to integrate analysis results into specific solutions and business processes for the A-Team in the Customer Finance Service Line
• Conduct and support cost case preparation and being involved in techno-economic evaluations
• Applying data transformation techniques: for example, handling data enrichment, blending, and expansion; filtering; and consolidation in the task area
• Devising and presenting decision making proposals and recommended courses of action
• Being involved in the development of specific assessment and steering tools for various data sources to provide the data records required

The salary for this position is from 1800 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).

As a company we take care about well-being of our employees, therefore we provide possibility of remote work. In case you will miss your colleagues, our offices are always open for you!

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
• Sick days
• Sports club & Health days
• Teambuildings, summer & Christmas party
• Opportunities for career growth
• Referral program
• Flexible working time

Requirements for the employee

Candidates with education suit the position

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

Language skills

English - Advanced (C1)

Personality requirements and skills

Education:
University degree (Master’s or PhD) in Statistics, Mathematics, Computer Science or another quantitative field.

Experience:
• 2-5 years of experience manipulating data sets and building statistical models
• Experience using statistical computer languages (Python, R, SLQ, etc.) to manipulate data and draw insights from large data sets is a must
• Experience working with and creating data architectures
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Experience visualizing/presenting data for stakeholders using e.g. Periscope, Business Objects, D3, ggplot, Celonis etc.
• Experience as a member of agile projects; international projects experience is beneficial
• Ideally experience with shared services
• Experience with JIRA beneficial

Language knowledge:
English (fluent) and German (beneficial)

Skills:
• Strong problem solving skills with an emphasis on product development
• A drive to learn and master new technologies and techniques
• Building and maintaining positive relationships with various stakeholders; managing expectations
• Very good communication and presentation skills
• Flexibility to travel nationally and internationally
• Corporate attitude and strong service behavior

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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

Company address

Deutsche Telekom Services Europe Slovakia s.r.o.
Moldavská cesta 8/A
04011 Košice
https://dtse.sk/

Contact

Kontaktná osoba: Dominika Ondrušová
E-mail: poslať životopis