Data Scientist
Deutsche Telekom
Bucharest, Romania
3 zile în urmă

Job Description

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.

    Deutsche Telekom Pan-Net s.r.o.

    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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