Job – ArcelorMittal Gent – Data Specialist

Arcelor Mittal Gent

 

Als dataspecialist maak je deel uit van de afdeling industriële automatisering en modellen.  Je bouwt statistische modellen die ons meer inzicht verschaffen in heel wat verschillende domeinen: de toestand van ons productiepark, de relaties tussen proces- en productparameters, de commerciële gegevens, …  Op die manier help je ons predictief en proactief in te grijpen op onze businessprocessen.

Functieomschrijving

  • Je verdiept je als dataspecialist doelgericht in zeer diverse bedrijfsproblemen, aansluitend bij de techniek, de logistiek of eerder bij de business.
  • Je gaat op zoek naar interessante verbanden in grote hoeveelheden gegevens, door het toepassen van geschikte datamining en data-analyse technieken.
  • Op basis van de resultaten werk je predictieve modellen uit ter ondersteuning van onze logistieke, commerciële en productieprocessen, met het oog op kostenbeheersing, kwaliteit en rendement.
  • Na een aantal jaren kun je doorgroeien en je meer toeleggen op de fabriek, in een productie- of onderhoudsfunctie, of op de klanten.

Profiel

  • Je bent master in een kwantitatieve richting (ingenieurswetenschappen, informatica, toegepaste wiskunde, …), gespecialiseerd in data-analyse.
  • Je kickt op hoogstaand intellectueel denkwerk, maar dan wel in relatie met reële industriële, logistieke of commerciële problemen.
  • Je behoudt steeds het overzicht ook bij complexe materie.
  • Je bent in staat taken af te werken binnen de gestelde deadlines.
  • Je bent een ploegspeler die ook autonoom kan werken.
  • Kennis van big data platformen is een pluspunt.

 

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:  Solliciteer nu

Job – Delhaize – BUSINESS ANALYTICS ANALYST

 

Delhaize

Have you secured your seat for the Data Innovation Summit yet ? #DIS2015

 

Business Analytics is een jong en dynamisch team binnen het departement Strategy and Commercial Development. Het doel van dit team is de business en het top management te helpen bij hun beslissingen door duidelijke besluiten en aanbevelingen te formuleren die gebaseerd zijn op statistische analyses. Als Business Analytics Analyst maak je gebruik van de data van Delhaize via tools, statistische methodes en data mining, zodat de interne klant en het top management de nodige informatie hebben om beslissingen te nemen.

Jouw verantwoordelijkheden

  • Je zet de noden van de business om in analyses.
  • Je past de standaard analysemethodes toe of je ontwikkelt nieuwe methodes waar nodig.
  • Je bewerkt grote hoeveelheden gegevens en haalt er de nodige kennis en informatie uit om te antwoorden aan je interne klant.
  • Je beoordeelt (of voorspelt) de prestaties of de impact van commerciële campagnes, van nieuwe concepten die in de winkels getest worden en van externe evenementen.
  • Je geeft duidelijke aanbevelingen en stelt deze voor aan de interne klant en/ of het top management met als doel hen te helpen in het beslissingsproces en de strategie te verbeteren.
  • Je communiceert/ presenteert je resultaten, observaties en aanbevelingen op een objectieve wijze aan interne belanghebbenden (top management & business operations).
  • Je doet eveneens voorstellen voor toekomstige verbeteringen op vlak van te gebruiken methodologie, processen en prestaties.

Jouw profiel

  • Je hebt een masterdiploma in marketing, wiskunde of statistiek en je hebt 2 jaar ervaring in een gelijkaardige functie.
  • Je hebt een professionele ervaring met SAS (Base / Stat / Macro) of een gelijkaardig instrument, en met Microsoft Office. Je bent ook vertrouwd met het genereren van een grote hoeveelheid gegevens via verzoeken in SQL.
  • Je hebt een duidelijk begrip van het algoritme voor data mining (regressie, classificatie, clustering en operationele research).
  • Ervaring met tijdreeksanalyses is een troef
  • Je hebt een passie voor data-analyse en je kan complexe informatie omzetten in duidelijke taal.
  • Je hebt uitstekende communicatievaardigheden in Nederlands, Engels of Frans.
  • Je werkt precies en hebt oog voor detail.
  • Je bent stressbestendig, proactief en enthousiast.
  • Je bent klantgericht (zowel extern als intern).

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 online

 

Job – Isabel – Business Intelligence (BI) Developer

isabel

 

Have you secured your seat for the Data Innovation Summit yet ? #DIS2015

 

 

Goal of the Function

The function of Business Intelligence Developer is to develop new and to enhance/maintain existing reporting solutions within the context of Isabel.

The BI developer will also define and maintain a set of guidelines and best practices on developing reporting solutions in an Agile environment. Furthermore, continuous improvement is required to ensure that the reporting solutions are and remain maintainable at the lowest possible cost.

All this is done to ensure that the BICC can provide information that meets the needs of Isabel, to use within the company or to provide it to external stakeholders (like the banks).

All this is done with the highest quality so the users of the BI information can be sure that it is conform the reality. Continuous learning and improvement are as such an integral part of the function.

All this is applicable to all the current and future BI information.

 

Areas of Result

As a BI developer, you are using SQL Server, SSIS, SSAS, SSRS and Sharepoint to develop ETL-packages, DWH-tables, OLAP-cubes, reports and dashboards.

You are responsible for translating functional requirements into technical details and establishing these on the BI platform.

You implement reports, dashboards and analytic solutions using SQL Reporting Services, Excel, PowerView and Sharepoint, for providing predefined reporting solutions.

You also use these tools to implement end-user self-service reporting solutions, this way allowing power users to use the BI data in SQL Server Analysis Services cubes for analysis purposes.You support colleagues in all departments of the company in using both reporting solutions (predefined & self-service) and, if needed, develop ad hoc queries to meet business requirements.

You follow up the execution of already implemented BI solutions and intervene in case of technical issues or incidents.

 

Personal skills:

Able to work effectively in a team environment.Work accurate, with eye for quality and details.

 

Technical skills:

SQL Server database + all products of the Microsoft BI suite (SSIS, SSAS, SSRS, MDS, Sharepoint)

Preferably 3 – 5 years of experience in a similar position

 

Language skills:

Preferably 3-ligual – English/Dutch/French

 

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 online

Startup Launch – Predicube – MORE EFFECTIVE ONLINE ADVERTIZING

logo

 

 

  • Stop sending all your money to facebook and google, spend it more wisely and get far better results from a Belgian #datascience startup offering a more secure and safer solution for Online advertising.
  • Invest in more effective targeted online advertising while respecting consumers’ privacy concerns

 

 David Martens  crowdPhilippe Degueldre Prof. Foster Provost    Book-cover

Nice crowd yesterday for the on  the top floor of the  Boerentoren (KBCstartit) for the Launch of Predicube, a startup founded by David Martens.

We had 3 presentations:

  • Welcome and introduction by David Martens
  • Philippe Degueldre, director business intelligence at Pebble Media
  • Prof. Foster Provost, Professor at NYU’s SternBusiness School and Co-founder of several big data companies

70% of every euro that is redirected from print to online advertising currently floats out of the local economy

 

Online advertising is big business, but spamming consumers with random ads has proven not to be the best way to optimize advertising returns: people only click on ads that are relevant to them. Hence, media companies and advertisers have been exploring targeted advertising strategies to boost online ads’ click-through rates (and revenues) based on an analysis of people’s Internet surfing patterns. An approach that conflicts with consumers’ stringent privacy concerns?

Not anymore, thanks to Belgian tech starter PrediCube – a spin-off from digital research center iMinds and University of Antwerp, and supported by the Start it @KBC incubator. PrediCube uses big data analytics to make sure consumers get to see those ads that are truly of interest to them, thereby increasing click-through rates up to 300%, while putting its unique ‘privacy by design’ strategy center stage.

Analyzing and predicting consumers’ online behavior to increase click-through rates up to 300%

Online adverteren is big business. Online advertising is big business. In Europe alone, online ad spending topped €27 Billion in 2013 (a YoY increase of 11,9%). Yet, while this big market potential offers a great deal of opportunities, the shift to online advertising also comes with a number of important concerns. The authors of the book Het nieuwe TV-kijken1 found, for instance, that 70% of every euro that is redirected from print to online advertising currently floats out of the local economy – right into the hands of a few big international players such as Google and Facebook.

Trying to counter that drain of resources and valuable consumer data, PrediCube now brings to market a solution that can be used by local media advertising companies to predict consumers’ interest in specific ads – based on an analysis of their online behavior. Result: targeted online advertising campaigns that are much more efficient and generate higher revenues.

“Using PrediCube, we have been able to increase targeted online ads’ click-through rates up to 300%. In other words, we are now able to match ads with the right consumer profiles up to 3 times more accurately. Moreover, we want to significantly increase the inventory’s volume based on socio-demographic criteria (such as age and gender). Thanks to PrediCube we will be able to do this in the very near future. It goes without saying that this approach will positively impact our business and product offering,” says Philippe Degueldre, director business intelligence at Pebble Media, managing online advertising for 80 premium websites – such as VRT, Telenet, RTBF, Viacom, Elle and LinkedIn.

Strong focus on ‘privacy by design’

Dealing adequately with consumers’ privacy concerns is a major focus area for the PrediCube team; hence they are investing a great deal of effort in their ‘privacy by design’ approach.

“PrediCube works by means of cookies,” explains Prof. dr. David Martens, co-founder of PrediCube and Assistant Professor at the Faculty of Applied Economics, University of Antwerp. “First of all, web pages that use the PrediCube customer behavior prediction tool will ask users’ explicit consent to use those cookies. If the cookies are not accepted, no behavior tracking will take place.”

“Secondly, a number of privacy safeguards have been put in place,” David Martens continues. “Users are automatically ‘forgotten’ after 30 days, their online behavior is only tracked on premium web pages – not across the whole of the Internet – and their data is never sold to other parties.”

PrediCube: bringing together the best in research and entrepreneurship

PrediCube builds on the outcomes of the DiDaM project, a collaborative research effort under the banner of iMinds Media. DiDaM investigated ways of analyzing media users’ Internet sessions in real-time and identifying patterns to help advertisers integrate relevant ads into web pages (also in real-time). Objective: providing consumers with just those ads that are relevant to them. DiDaM’s research findings and the expertise from the Applied Data Mining research center of the University of Antwerp together laid the foundation of PrediCube. The PrediCube team can also count on the support of the Start it @KBC incubator – providing them with business guidance and office space.

 

About PrediCube

PrediCube is a new tech startup that uses advanced big data technology to predict which online users are interested in a product, allowing targeted advertising on premium websites. Or how a spinoff company of University of Antwerp and iMinds is ready to go head to head with Facebook and Google to compete for online advertising budgets. PrediCube results from an iMinds Media project that ended in 2014, investigating the potential of data for improved advertising (together with partners Concentra, Pebble Media, AdHese and KU Leuven). PrediCube has been co-founded by prof. David Martens, who heads the Applied Data Mining research group at the University of Antwerp (faculty of Applied Economic Sciences), and whose research focuses on the development and application of data mining algorithms. PrediCube was founded in October 2014, and is part of the Start it @KBC incubator. Current customers include Batibouw, Engels Ramen, Verandaland and Triple Living.

Contact

Press coverage about this lauch:

Top 3: Data Science posts in 2015

The numbers of daily visitors is booming. We are now very close to 10.000 views per month.

monthly

 

Here are the top posts of the past 2 months:

  1. The Data Innovation Summit
  2. The overview of the datascience bootcamps
  3. Data Science Job page

 

top hits 2015

 

 

How to become a member:

 

Job – Dringend – Elis – Machine learning & Speech Recognition expert

kom op tegen kanker
Dieter De Witte , Dieter De Witte, Big Data Scientist at iMinds stuurt mij dit leuk bericht
Dag Philippe,

Ik kreeg net bericht van Professor Martens van ons lab dat er een dringende vacature is voor een junior researcher in het gebied van Machine learning & Speech Recognition. (zie hieronder). Mag die vacature bij de Data Science Meetup vacatures gezet worden? 

Groeten, Dieter

Interesse in spraaktechnologisch onderzoek met maatschappelijke relevantie?

Achtergrond

Jaarlijks telt men in Vlaanderen en Nederland 4000 nieuwe gevallen van hoofd- en halskanker. Dankzij nieuwe behandelingen is de kans op overleven sterk gestegen, maar dat neemt niet weg dat de patiënten na de behandeling toch vaak moeite hebben met eten, drinken en communiceren. De communicatieproblemen zijn deels te verhelpen door een aangepaste spraaktherapie, een therapie die ondersteund wordt door een regelmatige beoordeling van de spraak. Recent onderzoek aan de UGent heeft aangetoond dat spraaktechnologie hiervoor een goedkope en betrouwbare oplossing kan bieden. Automatische spraakanalyse vergt immers weinig tijd en is veel goedkoper dan de thans gangbare perceptuele evaluatie (door een luisteraar). Kom op tegen Kanker financiert de UGent voor het verder uitdiepen van haar technologie en voor het valideren van de meerwaarde ervan in een pilootproject met een groot aantal patiënten.

Jobbeschrijving

Het doel is om een standaard meetinstrumenten op basis van spraaktechnologie te ontwikkelen dat kan ingezet worden bij de definitie en de opvolging van een revalidatieprogramma. Dit instrument moet in staat zijn kleine positieve effecten van een therapie nauwkeurig te meten en het moet de therapeut aanwijzingen geven over de problemen die prioritair moeten worden aangepakt. Op het programma staan: (a) het verder verbeteren van de eerder ontwikkelde methode voor het meten van spraakverstaanbaarheid, (b) het ongevoelig maken van de methode voor variaties die niets met de spraakkwaliteit te maken hebben (b.v. microfoon, accent, leesfouten, …), (c) het verbreden van de analyse naar meerdere aspecten van spraakkwaliteit (b.v. schorheid, kwaliteit van de stemgeving, contrast tussen klinkers, …) en (d) het integreren van de methodes in een prototype van een web-gebaseerde therapietool.

Profiel

We zoeken een recent afgestudeerde master in de ingenieurswetenschappen met interesse voor spraakverwerking en data-modellering (machinaal leren), de basistechnieken die voor dit onderzoek belangrijk zijn. De persoon zal kunnen samenwerken met therapeuten van het UZ van Antwerpen en het Nederlands Kankerinstituut van Amsterdam.

Wat wij bieden

De kans om wetenschappelijk onderzoek uit te voeren in een nieuw en beloftevol domein, en daarin eventueel een doctoraat te behalen. De gelegenheid scheppen voor het uitbouwen van internationale contacten (deelname aan conferenties, studieverblijven in het buitenland).

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 .

update 2/3/2015 – Deze job is nu niet meer beschikbaar. Hou de website in het oog want Elis zal in de nabije toekomst nog experten aannemen.

Published Press articles about Brussels DataScience Community

hot-off-the-press-nugget

Articles and Interviews have been published in:

regionalIT  logo-technologium  canalz_logo KanaalZlogo2014 new europe studio

 

By following Journalists:

Brigitte-Doucet_avatar-230x230 Antoine Smets Fabienne Lamot Stijn Wuyts

Here are some articles published in the press about the Brussels Data Science Community.

 

TV Interviews

 

Nice article in Dutch about our last Meetup we did at the VUBrussels – Datascience in the Telecom world

technologiumabout telecom

 

Antoine from Technologium wrote this nice article about our last meetup we held at the VUB focusing on the Telecom world  and their use of datasciences.

technologium  Alles wat je moet weten over Big Data in de Telecom

 

 

See you soon  at our next event.

DIS2015

 

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

Job- CSC – Business / Functional Analysts Banking (Credits)

CSC

Besides industry knowledge, we look for people who are willing to listen to our clients, have an analytical mindset and are able to participate in large and complex projects.

You will join the existing CSC-team and perform consulting missions with clients in the banking industry.

 

Your Role:

  • You analyze and document clients’ processes and business requirements for software applications;
  • You construct conceptual data, business rules and process models;
  • You provide business process and re-engineering support to banking companies;
  • You facilitate meetings with clients to gather and document requirements and explore potential solutions;
  • You participate in workgroups and work sessions with business and technical consultants to explore business process improvements and re-engineering opportunities.

 

Your Profile:

  • You have a higher education background and 3 to 12 years experience within a banking company or as a specialized banking consultant with focus on Credits;
  • You have business process knowledge in the banking industry (with focus on credits), as well as a good understanding of the market and products;
  • You are eager to support banking customers in their transition to customer-centric, multi-channel marketing organizations, in their transition from “bricks” to “clicks”.
  • You are familiar with different kind of credit products and have solid experience and in depth knowledge of the end-to-end credit processes in the banking industry;
  • You are able to construct credit process models;
  • As well as possessing strong communication, interpersonal and entrepreneurial skills, you are capable of working with our clients in English, Dutch and French.

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, please send the following details to our Recruitment Manager at jobs-belgium@csc.com: