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Data science – Advance Analytic & Cognitive computing / Big Data


Information about the position

  • Place of work: Bratislava region, Banská Bystrica region, Košice region (The job requires travelling)
  • Basic wage component (gross) and other rewards: 1 700 EUR/month
  • Contract type: full-time

Job description, responsibilities and duties

Do you want to work for the most attractive employer in 2019?

Do you want to be a part of dynamic and inclusive environment in project-based client innovation center? Are you ready to leave your mark in the fast-changing world?

Then continue reading.

We are looking for passionate consultants in the Data Science – Advance Analytics & Cognitive Computing. You will work in various fields and industries (healthcare, automotive, finance / banking, insurance / re-insurance, public, retail, etc.) with the latest software and leading-edge development tools which give you the opportunity to enhance your skills and expertise in a dynamic multinational environment. You will be applying analytical methods and algorithms in real-world use cases where possible, to drive enhancements and build data products that streamline the process from data collection to insight generation.
During this process, you will use your written and oral skills a lot, as we work in teams and also face clients in daily interactions. Your interpersonal abilities will come useful, as well as your adaptability and willingness to work in a changing environment.

The position is based in Bratislava, Banska Bystrica or Kosice.

What would be your responsibilities?
Convert business problems into cognitive & analytics solution using their consulting skills
Build and deploy models or solution with respect of the specific business needs
Determines how to apply and deploy predictive models with respect of the specific business needs
Extract, transform, and combine structured and unstructured data to get the required format
Create solutions using Watson AI services & applications or with combination of open source languages
Explore data, create visualization and reports on data
Formulate hypotheses
Test conclusions to determine appropriate solutions methods

What do you need for your success with us?

Little hint: If you are familiar with at least 5 bullet points from this list,
you may be the perfect match!

• A solid foundation typically in statistics, modeling, operations research, computer science and applications, and math.
• Practical project experience of cognitive computing ideally in particular services industry
• Expertise of leading analytics products, solutions and technologies
• Deep knowledge and hands on experience (including implementation of recent/out-of-product Research results) in foundational aspects, more specifically:
Machine Learning, Natural Language Processing, Search, Indexing, Information Retrieval
• Experience with Deep learning algorithm (ANN, CNN, R-NN, …)
• Expert understanding of Watson WEX (foundational and analytical componentes)
• Understanding of IBM Cloud, Watson Cognitive Services / Watson developer cloud
• Experience with large data sets and distributed computing (Hive/Hadoop) a plus
• Experience with Text processing, Image recognition, Speech recognition in Python is plus
• Experience with TensorFlow, Keras, Apache SystemML, or PyTorch is plus
• Experience with Apache Spark plus
• Proficiency in relational databases and SQL
• Experience with a statistical package such as R, MATLAB, SPSS (Modeler, Statistics), SAS and Stata etc.
• Experience in at least one scripting or programming language (Python – in high demand, Perl, Java etc.)
• Experience with large data sets and distributed computing (Hive/Hadoop) a plus
• Experience doing quantitative analysis (classification, regression, time series analysis, tree-based methods, ensemble methods, optimization (linear programming etc.))
• Experience with Big Data tools (Apache Hadoop, Apache Cassandra, Apache Hive, Apache Spark, Hortonworks and others), Cloud experience, DevOps experience
• Experience in Data Modeling / Database Design / Information Governance / Data Quality Methodology

What can you expect of us?

• Salary starting from 1700 EUR gross, depending on relevant experience and language proficiency
• Annual bonus payment (based on company & individual performance)
• Performance & remuneration evaluation on regular basis
• Subsidized meal-tickets
• Flexible working time and home office
• Three additional vacation days
• Up to three self-recovery days
• 100% sick leave compensation
• Life insurance and supplementary pension savings program
• Private medical sanatorium
• Long term career development and possibility of internal rotation
• Excellent classroom based trainings and 5000 e-learning courses – both internal and external
• Recommend-a-Friend – get a bonus in the employee referral program
• MultiSport card
• Special IBM discounts

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)


Brief description of the company

IBM is the world's IT leader, main business area of the company are
IT services and solutions, research, hardware, software and business consulting. Our business model is built to support two principal goals: helping our clients succeed in delivering business value by becoming more efficient and competitive through the use of business insight and information technology solutions; and providing long-term value to our shareholders. In support of these objectives, our business model has been developed over time through strategic investments in services and technologies that have the best long-term growth and profitability prospects based on the value they deliver to clients. And inherent in the model is a commitment to employees and the communities in which we operate.

Company address

IBM International Services Centre s.r.o.
Apollo II, Mlynske Nivy 49
821 09 Bratislava - mestská časť Ružinov


Kontaktná osoba: Iveta Pribulova
E-mail: poslať životopis