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Job-ID: 110029_EN_2

Data Scientist

Company:
Deutsche Telekom Pan-Net s.r.o.
Locations:
Bucharest, Romania
Job level:
Professional
Employment type:
Full Time - Regular
Experience Required:
3-5 years
Languages Required:
English
Functional Area:
ICT / IT Operations
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Tasks / What will work on:

  • provide data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs
  • Work in the field of Artificial Intelligence and NLP
  • background in DL, ML algorithms and model development
  • define and build deep neural network architectures
  • training and validation of deep neural networks
  • artificial intelligence platform development
  • technical project planning
  • support and consulting in the area of artificial intelligence and deep learning
  • perform project estimations
  • define the implementation of the solutions for the problems at hand
  • define verification and validation strategies
  • communicate project output in terms of customer value, business objectives, and product opportunity
  • attend technology conferences to stay current on industry trends, challenges, and tools
  • promote data science methods and processes across functions
  • develop code in partnership with a product team that makes your data science solutions a reality for the customers

Professional skills:

Experience listed below would be obtained through a combination of your school work/research and/or relevant previous job and/or internship experiences.

  • Degree in Computer Science, or Statistics / Mathematics or equivalent experience.
  • Familiar with data science techniques: time series, clustering, segmentation, k-means, hierarchical clustering, tree-based methods, neural networks, etc.
  • Familiar with natural language processing techniques: symbolic methods, word embeddings, topic modelling etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Python, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Experience with data visualization tools, such as D3.js, GGplot, is a plus
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good knowledge of statistical analysis, theory of probabilities, design of experiments and machine learning hands-on experience with NLP, mining of structured, semi-structured, and unstructured data
  • Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques
  • Data-oriented personality

Social skills:

The ideal candidate should exhibit the following behavioral traits:

  • Problem-solving skills
  • Ability to multitask
  • Good communication skills with the ability to develop strong client relationships
  • Ability to work in a dynamic and team-oriented environment

Specific skills (Methods, trends, language, knowledge):

Service Delivery – Data Scientist

Experience in the following areas

  • knowledge of databases and query languages (SQL, PL/SQL) ,MySql or Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e. R, Python;
  • At least basic knowledge of any visualization tools like Tableau, Superset, Business Objects, etc
  • experience with code versioning systems
  • experience with implementing solutions and platform changes/updates.
  • experience in automation and testing via scripting and programming. Knowledge of Docker/Ansible/Jenkins/GitLab is a plus
  • ability to understand requirements and derive unit test specifications accordingly
  • ability to analyze and understand given code, experience in code reviews
  • great understanding of agile methodologies and continuous integration.
  • Motivation and flexibility- working well in a fast paced, collaborative team environment.
  • Passion for innovation, efficiency and quality.
  • Working with remote and global teams

Data Privacy Information and Consent with Processing of Personal Data

By replying to the job offer, I hereby grant company Deutsche Telekom Pan-Net Romania S.R.L., with its registered seat at B-dul. Dimitrie Pompei nr. 9-9A, Iride Business Park Cladirea 20, etaj 3, Sector 2, Bucharest, Romania, ID No.: J40/4603/2016 (the “Company” or “we”) the consent with processing of my personal data in the following scope: academic title, name, surname, photography, contact details (e-mail address, address, phone number), information about achieved education, previous working experience, other information that are included in my CV/motivation letter, and so for the purpose of participation in a selection process for the job position that I am applying for. This consent is granted for definite period of 6 months.

My personal data will not be subject to automated decision making and profiling. My personal data will be provided only to the following recipients within Deutsche Telekom AG Group: Deutsche Telekom Services Europe GmbH, Friedrich-Ebert-Allee 140, D-53113 Bonn, Germany; Deutsche Telekom Services Europe Romania S.R.L., 319G Splaiul Independentei, Bucharest, Romania; Deutsche Telekom AG, Friedrich-Ebert-Allee 140, D-53113 Bonn, Germany; Deutsche Telekom Pan-Net s.r.o., Jarabinková 1, 821 09 Bratislava, Slovak Republic. My personal data will not be transferred to third countries.

In connection with the processing of my personal data the Company provides me with the following information:

Please be informed that you have the following rights: (i) to request access to your personal data, (ii) to correct your personal data, (iii) to delete your personal data, (iv) to limit the processing of your personal data, (v) to object processing of your personal data, (vi) to the portability of your personal data, (vii) to file a complaint with the competent supervisory authority, (viii) to withdraw your consent with processing. Please note that processing of personal data is prerequisite for participation in selection process. If you do not provide us with your consent, or if you withdraw your consent during the selection process, we cannot process your personal data and thus you cannot participate in the selection process for concrete job position.

Contact for provision of additional information about the protection and processing of your personal data is: pan-net.romania.privacy@telekom.com. Additional information about data privacy you can find on the following link.

  • International activity

Deutsche Telekom Pan-Net s.r.o. designs, operates and steers the joint pan-European network ("Pan-Net") of Deutsche Telekom. The company is a member of the Deutsche Telekom Group with head quarter in Bratislava and locations in Europe. Deutsche Telekom PanNet is building the capabilities for Deutsche Telekom’s future centralized production platform across Europe.

Service Delivery consists of several service centers which develop and operate voice, data, messaging and ICT services for Deutsche Telekom European markets. Services are produced based on modular and reusable building blocks with standardized interfaces towards national companies of Deutsche Telekom.  Pan-Net aims at a lean production model with efficient processes and a close integration of development and operations.

The PanNet is looking for candidates with a start-up mentality that are equally able to support the initial setup with the necessary flexibility and to define a sustainable target organization based on the key production principles of Pan Net.

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Recruiting Team Deutsche Telekom Pan-Net s.r.o.

myhr_recruitment@telekom.com

0080080056056

Further career information

Your application - quick and easy in just 5 minutes! Found your new job? Then simply click on 'Apply now' to register for our online job tool. Do you have your application documents (CV, cover letter, certificates) available? You can upload them as pdf-; word- (docx); ppt-; xls-; csv- oder txt-file with a maximum upload size of 10 MB each. As soon as we receive your application, you will get a confirmation via e-mail. The first thing we do is check whether your profile matches the job. Depending on the position, this first selection round can take up to four weeks. If you are successful in the pre-selection round, we will contact you to arrange an interview. You can check the status of your application in your applicant profile at any time.

Looking for tips for your application? Then take a look at the section called >Application Tips on our career website. Here you will find all manner of tips on 'The Right Way to Apply' and all the answers to the online application process.

By the way: Once you have set up your digital application, you can use it to apply for any position at Deutsche Telekom Group - quickly and easily with just a few clicks.

You need technical help? Our Career Team can be reached via e-mail or via phone: +49 800 3306700 and is looking forward to help you with any request.

Master exciting challenges without overextending yourself, be dedicated to your job while also enjoying a well-balanced private life – this is admittedly not always easy.

Take charge of your life. With work-life@telekom, Telekom is expressly integrating the reconciliation of work and private life into the corporate culture. Diverse measures in the focal areas “Working time and location”, “Health and fitness”, “Family” and “Social aspects” ensure improved reconciliation of work and private life – for all of our employees: Singles and families, young and old employees, men and women. With us you can unfold your full potential while also making your individual life plan a reality.

We can offer you development opportunities that are lifelong. After all, the challenges in our industry are constantly changing - and we know, that we can best meet them with outstandingly qualified colleagues.

We offer a broad spectrum of personal training and development possibilities. Whether you're a newcomer, an expert or a manager - we can offer you exciting prospects and individual career paths. For example, there are various development programs to support expert and executive careers, international exchanges, or part-time studying while you work. Our employees have the choice. Detailed information can be found in the category Career Center on our career website.

Money might not bring happiness, but it does make life easier. Because we want you to be able to focus fully on the projects at hand, we support you with an attractive salary and numerous benefits. Because money can't get you everything, we offer a number of benefits to make life easier on top of that. You can further benefit from individual location-specific offers and support services.

You want to know more about our compensations and benefits? Then take a look at the section called Our Services on our career site.

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