IBM – Gold Partner of DIS 2017

IBM is a global cloud platform and cognitive solutions company, which has continually evolved over IBM_logo.svgthe past century to remain at the forefront of technological innovation.

Data Science is an interdisciplinary field that combines machine learning, statistics, advanced analysis, and programming. It is a new form of art that draws out hidden insights and puts data to work in the cognitive era. Today we are excited to announce the IBM Data Science Experience, an environment that has everything a data scientist needs to be successful. IBM Data Science Experience is an interactive, collaborative, cloud-based environment where data scientists can use multiple tools to activate their insights. Data scientists can use the best of open source, tap into IBM’s unique features, grow their capabilities, and share their successes.

To get yourself going, create projects to collaborate with other data scientists and data engineers, create and share notebooks, data sets, and data connections, or use RStudio.

Have questions?
Email IBM
Or call us at: +32 (0) 2 339 98 35
Priority code: Analytics Platform

IBM is one of the leading global technology and innovation companies in the world, headquartered in Armonk, NY.

As a globally integrated enterprise, IBM operates in more than 175 countries and is continuing to shift its business to the higher value segments of enterprise IT.

IBM is a cognitive solutions and cloud platform company that offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world’s most advanced servers and enterprise computers like IBM Watson. Utilising its business consulting, technology and R&D expertise, IBM is making the world work better by transforming industries and professions through technology and data. This includes working with organisations and governments to build systems that improve traffic congestion, managing water, and the health and safety of populations.

IBM annually invests approximately 6 percent of total revenue for R&D, focusing on high-growth, high-value opportunities. In 2016, IBM was awarded more U.S. patents than any other company for the 24th consecutive year. IBM Research has received recognition beyond any commercial technology research organisation and is home to 6 Nobel Laureates, 10 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 20 Inductees in US Inventors Hall of Fame. Our company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

Join diSummit 2017 and take part in IBM‘s innovative workshop, a unique experience you cannot miss!!!

 

Job – Click@Bike – Senior Data Engineer

Click@Bike  is a promising start-up with European ambitions for the development and distribution of an innovative touristic cycling product-service offer for the hospitality sector. The Company is well capitalised and has extensive international support from the public sector.

To re-enforce its in-house IT development team, the Company is looking to hire a Senior Data Engineer.

About the role: Data Engineer

You will be a Senior Data Engineer responsible for all operational aspects related to the Company’s data, from sourcing through public and commercial tourist channels, over designing a robust schema and data model, to implementing and maintaining the data infrastructure using the latest technologies and best practices, with the aim to provide most current data in a secure, efficient, reliable and scalable manner to support back-end services and front-end user information display services.

The Senior Data Engineer will work together with external data providers. She/he will perform the technical analysis of the specific data interfaces, execute the data translation and integration with the in-house back-end systems by implementing or developing respective Extract, Transform, Load (ETL) solutions, and, together with the Product Manager, roll-out prototypes and final products to customers.

Further to the primary tasks of the Senior Data Engineer, it is the Company’s strategy to broaden the scope towards software engineering tasks in the backend application stack over time to cross-functionalize the IT department.

The Senior Data Engineer reports to the Product Manager; as the first in-house data engineer she/he owns the unique chance to develop from ground zero the Company’s data engineering processes and to manage the Company’s data.

The Senior Data Engineer will establish and lead the data engineering team.

Essential Qualifications

  • Master in IT with 7 years of job related experience
  • Experience as a software engineer, data engineer, data architect or any combination of the roles
  • Software programming skill set and sound knowledge of design patterns
  • Experience in object oriented programming, preferably using Java
  • Deep understanding of database schema design and data structures
  • Experience in data modelling using inter alia entity relationship diagrams, UML
  • Experience with RDBMS: MySQL, PostgreSQL, MS SQL or Oracle
  • Experience with ETL tools, preferably open source, such as Talend, Pentaho
  • Experience with RDBMS spatial extensions
  • Experience with structured data communication: SOAP, REST/XML, JSON
  • Excellent technical communication skills
  • Software modelling, architecture & software services design experience
    • Unified Modelling Language (UML)
    • User stories, use cases
    • System design
    • Functional and technical systems specifications
  • Experience with Back-end and front-end application development
  • Experience in IT project management
  • Knowledge of NoSQL database concepts and their typical use cases
  • Experience in team leadership

Desirable Qualifications

  • Experience in working in an international environment
  • Experience with NoSQL databases such as graph DB (e.g. Neo4j), document DB (e.g. MongoDB) or key-value stores (e.g. Voldemort or CouchDB)
  • Experience with Java Enterprise: J2EE, JSP/JSF, EJB, JDBC, JMS framework
  • Experience with Android development
  • Experience in web development and system setup: Apache/Tomcat, PHP

Office & Development Tools

  • MS Office
    • MS Word, MS Powerpoint: advanced user
    • MS Access, MS Excel: power user
  • Eclipse/Netbeans, Bitbucket/Git/GitHub, Confluence&JIRA,
  • XML Editor, such as XML Spy or Oxygen XML Editor
  • Enterprise Architect
  • PowerDesigner
  • Operating systems: Windows 8.1 or 10, Linux (Ubuntu, Debian, RedHat)

Soft Skills

  • Spirit to work in a start-up environment
  • Good communication skills
  • Good teamwork competencies
  • Sound analytical skills
  • Sound judgement
  • Service and customer oriented

Language Skills

  • We are operating in an international environment; hence a high English proficiency is mandatory.

Additional: fluent in Dutch, French or German, a third language is a plus

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

For further information or to apply for this vacancy, please contact Bart Vandermeeren and include your CV.

Job – Junior Data Scientist

Screenshot 2016-07-01 12.02.02

Are you pursuing a career in data science?

We have a great opportunity for you: an intensive training program combined with interesting job opportunities!

Interested? Check out http://di-academy.com/bootcamp/ follow the link to our datascience survey and send your cv to training@di-academy.com

Once selected, you’ll be invited for the intake event that will take place in Brussels this summer.

Hope to see you there,

Nele & Philippe

Job – MDCPartners – Senior Data Engineer

Screenshot 2016-06-27 14.55.11

Job Requirements

About MDCPartners

MDCPartners is a technology company based in Antwerp, Belgium that produces large volumes of healthcare data on a weekly basis. This requires skilled techies with an eye for data, and the ability to apply this knowledge in the field of healthcare. Our clients are top pharma companies that rely on our tools to make crucial decisions during drug development.

Responsibilities

As Senior Data Engineer you work in the data lifting team to streamline and innovate data processing components and workflow. You deal with algorithmic, performance and operational tasks related to the main data flow in MDCPartners.

Your main target is to oversee parts of the data generation, improve quality of the data, the processing performance and downstream application possibilities by means of your architectural and algorithmic input.

Keywords: data analysis, algorithms, NLP, machine learning, Lucene, ontologies, medical data, performance, parallel programming

Requirements

  • Have a Master’s degree or PhD in Computer Science
  • Have at least 4 years of proven experience in the field
  • Have fantastic Java skills
  • Know your way around (No)SQL databases
  • Be fluent in English
  • Have a no-nonsense problem solving mindset
  • Be eager to take technical and organizational responsibility
  • Learn quickly, and want to be challenged
  • Have the ability to support and mentor other data engineers

What we offer

  • A hi-tech, creative working environment in a dynamic, growing company
  • Career path to grow to a crucial role
  • Competitive salary & benefits
  • Company car or similar remuneration options possible
  • Health insurance package

How to apply

For further information or to apply for this vacancy, please contact us and include your CV.

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

For further information or to apply for this vacancy, please contact MDC and include your CV.

Nurturing your Data Scientists : 70 years of accumulated experience at your service!

The Data Science community is proud to announce the entrance in of a startup dedicated to data scientists coaching and nurturing: WeLoveDataScience

Data scientist… Where are you? Do you really exist?

That’s the question many managers do currently face. Data Scientists is a scarce 5-legs sheeps: difficult to find, difficult to hire and difficult to keep.

 

logo_WeLOveDataScience_width2000

 

WeLoveDataScience is a brand new business unit, hosted at the European Data Innovation Hub, dedicated to searching, selecting, training, coaching and nurturing data science talents. The Belgian market does not propose enough candidates: we will take care to train next-gen data scientists for you.

Whatever your projects are, we propose to prepare for you the data scientist(s) you need, following these 7 steps:

  1. Together we prepare a detailed job description corresponding to your real needs: is this about data analysis, basic queries, reporting, data mining, big data or new technologies?
  2. We identify candidates on the market in particular through close collaborations with Belgian universities (Ghent, ULB/VUB, UCLouvain…)
  3. You hire the right candidate!
  4. He/she assists a 12 weeks data science bootcamp , including: high-level overview, data science for business, technical stack (SAS, R, Python…), introduction to specific technologies/topics (NoSQL or graph databases, social network analysis, text-mining..)
  5. Then he/she works for you at our offices during 4 tot 6 month, coached by one of our expert. On the job coaching on real projects: your projects but also hackathons, technology workshops, meetups…
  6. After those 10 intensive months, (s)he is ready to work for you on site. (S)He will demonstrate his/her knowledge by giving a course on a specific topic and/or writing entries in specialised blogs, giving a presentation at a conference…
  7. We assist you in yearly evaluation and follow-up.

Our intentions for 2016 are to help companies create and develop data science teams and to build a data science culture… And WeLoveDataScience: this is 70 years of accumulated experience at your disposal!

Want to know more? Visit: www.welovedatascience.com , send an email to info@welovedatascience.com or simply fill in this contact form. We will visit and explain what we do and brainstorm about your specific needs.

 

Registrations for Data Science and Big Data training programmes are now open.

The European Data Innovation Hub organizes with its partners a full serie of Data Science and Big Data training programmes.

You can expect

  • a series of executive training to support your management in understanding the benefits of analytics
  • a series of coached MOOCs on machine learning and big data technology
  • a series of hands-on training on the different datascience technologies

All members of the European Data Science and Big Data communities are welcome to use our Brussels based professional facilities to give their training. The members of the hub will promote your training and include it on our e-learning platform for further use.

Here is an overview of the trainings that we have already scheduled for the coming months:

Data Innovation Training Hub

Brussels, BE
486 Fast learners

This group is an initiative from the nonprofit European Data Innovation Hub, the premier networking space where business, startup, academic and political decision makers share…

Next Meetup

Hacking opendata with Neo4j

Thursday, Feb 18, 2016, 6:00 PM
1 Attending

Check out this Meetup Group →

#DIS2015 – Prof Bart Baesens will present his book: Analytics in a Big Data World

bart Baesens_Bart_small

Professor Baesens just confirmed his presence on the Data Innovation Summit. He will present his book:

Analytics in a Big Data World
The Essential Guide to Data Science and its Applications

About the event:

The Data Innovation Summit in Brussels is a one day conference gathering all the Belgian actors facilitating data innovation. It is an action packed conference where more than 50 speakers will demonstrate what they do that helps us compete in this digital marketplace.

 

How to register:

Summit: Data Innovation Summit – Made in Belgium

Thursday, Mar 26, 2015, 8:00 AM

AXA building
boulevard du Souverain, 25 Watermael-Boitsfort, BE

377 Business & Data Science pro’s Attending

Toon Vanagt- Laurent Fayet – Filip Maertens – Kris Peeters – Vincent Blondel –David Martens – Hans ConstandtThe Data Innovation Summit in Brussels is a one day conference gathering all the Belgian actors facilitating data innovation. It is an action packed conference where more than 50 speakers will demonstrate what they do that helps us compete i…

Check out this Meetup →

Job – UCB – Data Analytics Champion

UCB

UCB is a global biopharmaceutical company focused on the discovery and development of innovative medicines and solutions to transform the lives of people living with severe diseases of the immune system or of the central nervous system. With more than 8,500 people in more than 40 countries, the company generated revenue of €3.4 billion in 2013. UCB is listed on Euronext Brussels (symbol: UCB).

We are looking for enthusiastic and talented professionals who thrive on challenge and change, who want to make a difference and deliver results.

Responsibilities:

  • Provide advanced analytics to support activities across all business areas of the company to generate insights that will impact the patient, HCP and payer
  • Drive the analytics approach across Europe in line with the new trends in analytics. With the help of your network you will architect, design and build innovative platforms and solutions. These solutions can be generic solutions serving the entire UCB organization, or custom solutions for one or more departments.
  • Exploit data in order to drive informed decisions to drive actionable solutions ensuring all data is accurate, meaningful and easily available to the business.
  • Requires intense interactions with all business stakeholders, Operational Excellence and our off shore analytics partner and other vendors.
  • Have excellent presentation skills combined with the ability to act as a story teller through advanced analytics visualization techniques.
  • Able to translate business request and complete within agreed timelines
  • Strong communicator with our off shore partner for all analytical deliverables. Manage workload prioritization, provide guidance and demonstrate data expertise
  • Bring analytical insights and experience to shape the optimum solution for specific needs
  • Lead the delivery of analytical projects and enforce best practice and quality standards
  • Conduct data analysis to provide meaningful business insights using statistical tools
  • Present outcome of analyses to the relevant stakeholders, in writing or verbally, to help convert the statistical findings to concrete business decisions.
  • Maintain a trusting and productive relationship with the business partner, gaining a thorough understanding of the business challenges.
  • Stay updated on industry best practices and drive the adoption of novel approaches and methods in the field of Analytics.
  • Follow core project management practices, such as project justification, initiation, stakeholder communication and delivery.
  • Coach and develop colleagues in best practice and skills development and expertise in the tools and techniques critical to analytics

     

Qualifications

  • A proven track record in the development and implementation of data analytical solutions.
  • Experience with data, visualisation, software tools
  • Proven problem analysis and problem solving skills; Excellent numerical aptitude
  • Strong interpersonal and presentation skills – ability to convey technology and business value propositions
  • Good listening skills, and an ability to ask questions and probe to uncover issues
  • Ability to work independently, handle multiple tasks, and prioritize based on the requirements of the business.
  • Ability to formulate relevant business questions and ability to help business ask the right questions
  • Ability to guide external resources and evaluate proposed technical solutions.Understanding of how relevant statistical and other analytical techniques can be applied to answer specific business questions.
  • Project Management skills.
  • Curiosity—a desire to go beneath the surface of a problem, find the questions at its heart, and distill them into a very clear set of hypotheses that can be tested
  • Associative thinking is highly required
  • Motivated self-starter with pro-active attitude
  • Fluent in English (written and verbal)

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

Here is the original  jobpost .

Apply:  Apply now

Job – Keyrus – Data Science consultant – Brussels

keyrus

Vanessa Closset from Keyrus just used our easy job update form  to advertise for free the following data driven job opportunity.

 

Duties and responsibilities

As a Data Scientist, you will need a combination of business focus, strong analytical and problem solving skills as well as programming experience to be able to analyse large data sets of information with the appropriate tools and techniques in order to deliver insightful and actionable information in an impactful manner.

Your main mission will consist of working with our customers and understanding their business context. This unique role will engage you with the business by addressing strategic and tactical questions through the use of data mining and data visualization techniques, including pattern detection, graph analysis or statistical analysis. You’ll be challenged to propose innovative ways of addressing problems with alternative options and creative and workable solutions. You will also use the new visualisation tools to present your validated findings in a clear and precise manner to non-technical people.

You will be exposed to different sectors and company functions. You will work most of the time at client sites in Belgium.

Qualifications, experience and skills

  • Master or PhD in Mathematics, Statistics, Computer Science, Engineering or any related field
  • Passionate about data and/or statistical analysis, with mathematics and causal modeling skills
  • Strong programming skills such as Java and/or Python
  • Knowledge of statistical modeling and tools (SAS, R, Matlab…), SQL and data mining is required. Knowledge of machine learning, Hadoop or other Big Data frameworks is a plus
  • At ease in manipulating and analysing complex, high-volume, high-dimensionality data from various sources
  • Excellent communication and interpersonal skills: you have the ability to communicate results clearly to non-technical colleagues
  • Strong analytical competencies and excellent creative problem-solving skills
  • Experience in Data Visualisation (knowledge of Business Intelligence Reporting & Analysis tools)
  • Overall knowledge of Business Intelligence is an asset; in particular data modeling, ETL, and reporting tools
  • Fluent in Dutch and/or French and English

What we offer

Keyrus offers a working environment and projects that attract the best people working in business intelligence, data analytics and performance management. Working on diverse and challenging projects, you will have the opportunity to develop multi-disciplinary IT/business skills to help you build a strong career path.

You will receive a training budget to support and sustain your skills and an attractive salary package including a company car and other benefits.

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

Here is the original  jobpost .

Apply:  To Apply SUBMIT YOUR CV