Summit- Data Innovation – Call for sponsors

datascience Innovation

One full day to get the full picture of data innovation made in Belgium.

We expect 500 participants.

The full panel of the Belgian Data Innovative Power will be present.

The agenda is available here.

Over 30 presentations will  be streamed live and recorded.

The best cases will be bundled in a book.

In order to cover the catering and  organisation costs of this event, we have decided to call upon the support of our future partners.

Different sponsoring options are possible. Please contact Philippe for more details. (pvanimpe@gmail.com – 0477/23.78.42)

Job – BNP Paribas Fortis – Dataminer Customer Intelligence

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Sneak Preview for members only:
Our friends at Fortis will soon  publish an interesting vacancy for a datascientist.

 

Recruiting a data science specialist

We currently have a job opportunity available for a data science specialist within the Analytical & Predictive Marketing team, which is part of the marketing department. As a Data Scientist you will be responsible for analytical projects which share the common goal of supporting and improving the bank’s marketing strategy, based on objective data analyses.

The mission

The Analytical & Predictive Marketing team plays an important role within the marketing  department of BNP Paribas Fortis (Retail & Private Banking).
The main missions of the team are:

• Transformation, combination and exploitation of our raw customers data based on data mining techniques, in order to extract information allowing to guide and support the marketing strategy.

• Together with the Customer Intelligence teams (Market Research, Data Analysis, Customer Strategy and Pricing) increasing the customer knowledge by delivering clear customer information, based on indicators, recommendations, customer segmentation and customer profiling.

• Automating and integrating predictive models and other project’s output within the bank’s processes.

• Finding and proposing innovative analytical solutions, based on internal and external data, in order to increase customer satisfaction and optimize the marketing strategy

Projects and analysis are conducted in close relation with the other Marketing departments, such as Value Proposition, Campaign Management, Digital Channels, etc. These ensure that our pricing, product propositions and commercial actions are optimized, allowing us to increase customer satisfaction and loyalty.

Your future job

You will lead or be involved into projects related to:

• Improving and optimizing commercial actions through the creation of predictive models (e.g. appetite models), the objective evaluation of campaigns and the formulation of recommendations that are based on internal data analysis and your own experience.

• Creating customer indicators, based on models and different data sources, that allow both the branches and marketing to proactively and reactively respond to customer behavior correctly

• Provide analytical solutions to support important marketing decisions such as customer segmentation, price optimization, etc.

• Promote and improve the analytical approach in the long-term strategy of the bank as well as demonstrating its added value in terms of competitiveness

You are responsible for scheduling and implementing your project, and communicating its results. During the project, you will work closely with our internal customers (the other marketing departments) and communicate regularly on the progress and results of the project. A part of your time will be spent on R&D projects chosen by the team

Desired profile

• You have a university degree within one or more of these orientations: data science/data mining, analytical marketing, statistics, engineering or computer science.

• You have at least 3 years of experience in a similar function

• You are passionate by retrieving pertinent information from large data bases and to convey  these insights in a comprehensible manner to answer our internal customer’s questions.

• You are proactively interested in the challenges of the company and are willing to provide analytical solutions

• You are creative and results driven

• You are a team player and you are able to work autonomously as well

• You are mastering several data science/data mining techniques: supervised and non-supervised learning, statistical analyses, Big Data architecture and concepts

• You are able to manipulate large data warehouses by programming (SAS, SQL, R, Python,…) and you have experience with data visualization tools (SpotFire,…)

• You are able to communicate in a clear and simple way. You are able to convey complicated analyses on a didactic and clear way to our internal customers.

• A good knowledge of the two national languages and of English is desirable.

How to apply?

Apply Now – or send your cv to Philippe (pvanimpe@gmail.com) in case it is not published yet

More Jobs ?

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Click here for more Data related job offers.
Join our community on linkedin and attend our meetups.
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Call for presentations – Data Innovation Summit – Brussels – March 26 2015

datascience Innovation

Dear Data Lover,

You are kindly invited to share your big data science project experience with over 500 peers.

Take on this challenge and join over 30 presenters for an action packed Data Innovation Summit on March 26th in Brussels, register your presentation here .

To help you make this happen we have defined different formats and will provide presentation coaching.

  1. Job Flash – 2:30 minutes – 10 slides
    For those who want to present their next project and attract the best resources.
  2. Ignite Talk – 5:00 minutes – 20 slides
    20 slides moving forward every 15 seconds, great experience for novice presenters.
  3. University Challenge – 6:00 minutes – free format
    For academic teams who are eager to show off their ability to help the business.
  4. TED Style – 12:00 minutes – free format
    For those who want to share their passion about a specific topic.

The best cases will be bundled in our book ‘ Data Innovation in Belgium ‘, your presentation will be streamed live during the event and made available on our website (datasciencebe.com).

The Belgian academic and business community is looking forward to hearing your story,

Philippe Van Impe
@datasciencebe
www.datasciencebe.com

PS. Please forward this invitation to your peers and invite them to register or to prepare a presentation together with you.

—————-

Data Innovation

Job – Startup – Realo – Gent – Data Scientist

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Oprichters Netlog betrokken bij Gentse startup Realo

Netlog-oprichters Lorenz Bogaert en Toon Coppens zijn betrokken bij een nieuwe Gentse startup Realo. Realo wil de online wereld van vastgoed veranderen.

 

JOB DESCRIPTION

As a data scientist you will combine statistical, mathematical and predictive modelling with business strategy skills to build the algorithms necessary to help our users, improve our products and drive our business.

REQUIREMENTS

  • Knowledge of Python, R, Clojure, Matlab, Pig, SQL, Elastic Search, …
  • Experience with text and data mining
  • You know about web development and can code (JS, PHP, JSON, … ) and are not stuck on frameworks.
  • You have a university Master’s or Doctor’s degree in Engineering or Mathematics.
  • Being a tech hero in a fast growing environment is your perfect habitat.

How to apply?

Apply Now

More Jobs ?

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Click here for more Data related job offers.
Join our community on linkedin and attend our meetups.
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Building a team to follow together the new Datascience Coursera courses starting next week

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Hendrik D’Oosterlinck is taking the lead to organize this initiative.
hendrik.doosterlinck@gmail.com

 

Coursera and Johns Hopkins University starts a full Data Science training. Why don’t we build a teal and do this together. Please comment on this post if you want to participate.

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Let’s do this together !

Learn Data Science from one of the world’s top universities.
Johns Hopkins professors developed the Data Science Specialization to guide you from fundamental principles to advanced competency.
  • Gain hands-on Data Science experience with a Capstone Project
  • Showcase your knowledge with a Verified Certificate on your LinkedIn profile and resume
  • Adapt to your schedule with courses repeating monthly
  • Have unlimited retries for up to two years while available
Happy learning,
Coursera Team

DataQuest – Free Browser-based Learning for Data Science

nice initiative

Data Science 101

DataQuest is a recently launched online data science learning platform for python. The site consists of a gamified series of missions that increase in difficulty as your skills progress. Here are a few other features of the site.

  • Sample Code
  • Live, Interactive Browser-based Coding Environment
  • Step by Step Instructions
  • Instant Feedback
  • Helpful Forums for Q&A

The site is still under development and the founder, Vik Paruchuri, is looking for help developing more content and missions for the site. If that is something of interest to you, get in touch with Vik via the DataQuest website.

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Job – HP – Master Data Scientist

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Dirk Struyf  Dirk Struyf from HP wants to publish this vacancy

Hi Philippe;
I noticed there is a job section on https://datasciencebe.com/
I’m actually looking for a master data scientist in Belgium. 
People should apply via jobs.hp.com
Regards,
Dirk

Description

About HP Analytics & Data Management

 HP’s Analytics & Data Management (A&DM) solve our client’s most pressing challenges by enabling them to harness the power of data for insightful decisions and smarter systems.
Analytics is one of the top focus areas for HP and as such, this is an area of significant ongoing growth, investment and commitment for Enterprise Services. The position represents an exciting opportunity to be part of a high growth team, driving innovative, next generation solutions with leading enterprises and public sector clients.

About the role of Data Scientist

 The Master Data Scientist will apply their knowledge of advanced analytics, data mining and statistical techniques to design and develop enterprise analytic solutions which are focused on specific industry solutions for HP clients. These solutions will position HP as a leader in the use of advanced analytics to improve business performance.
The Master Data Scientist will define best practices in the use of advanced analytics and therefore must possess the ability to understand and document business processes and influence process improvement.
The Master Data Scientist will also explore emerging technologies to evaluate new analytic possibilities. The individual filling this role will be expected to hit the ground running on the delivery of advanced analytic solutions.
In this role you will be expected to design and develop prototypes & proof-of-concept solutions in support of presales activities as well as support the development of standardized analytic offerings across multiple industries.

Description:

  • Defines analytic strategies to meet the demands of business requirements.
  • Defines the technical requirements of the analytic solutions.
  • Defines the data requirements of the analytic solution.
  • Conducts sophisticated data mining analyses and build data mining models, as required, as part of the initial solution development.
  • Translates data mining results into clear business focused deliverables for decision makers.
  • Works with Application Developers to deploy data mining models into operational systems.
  • Defines and recommends best practices for applying data mining to problem domain.
  • Designs and/or contributes to the development of a data mining systems that enable reuse, efficiency, manageability and deployment.
  • Integrates advanced analytics into end-to-end business intelligence solutions and operational business processes.
  • Usually responsible for providing a detailed technical design for enterprise solutions. Is usually the Principal Consultant who analyses and develops enterprise technology solutions.
  • Regularly leads large cross functional teams to include technical management of client staff assigned to implementation team in the completion of one or more solution requirements, architecture, or implementation deliverables.
  • Provides the technical direction required to resolve complex issues to ensure the on-time delivery of solutions that meet customer expectations. May need to develop new methods to apply to situations.
  • Provides advanced technical consulting and advice to proposal efforts, solution design. Provides consulting advice to customer senior leadership and sets strategic direction for customers based on HP’s solutions and products.
  • Works with peers outside immediate organization to define and characterize complex technology or process problems and/or develops new solutions, yet works independently to drive technical problems to a solution.
  • Produces strategies which assist HP in becoming No. 1 in the market place.
  • Actively participates in HP professions program and Practice Improvement activities.
  • Proactively encourages Re-use within practice or profession.
  • Is recognized by peers as an expert in a particular area of technology.
  • Sustained and consistent contribution at the region level.

Qualifications:

  • 12+ years of professional experience and a Master of Arts/ Science or equivalent degree in computer science or related area of study; without a Masters degree, three additional years of relevant professional experience (15+ years in total).
  • > 5 years of experience in analytic application/solution development. Refers to the implementation of repeatable analytic solutions which encompass all phases of the software development cycle. Beyond model development.
  • Strong business focus. Must excel at connecting business requirements to data mining objectives and to measurable business benefit.
  • >5 years use of R, SAS Enterprise Miner or SPSS Clementine for data mining and statistical analysis

Knowledge and Skill Required:

  • Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining.
  • Expert use of SQL and experience with relational databases
  • Experience with Hadoop, Map/Reduce, Hive or equivalent
  • Ability to manage multiple projects efficiently and able to meet deadlines
  • Excellent communication and presentation skills; fluent in English.
  • Demonstrates ability to develop solutions that can be used at multiple customer sites to enhance the availability, performance, maintainability and agility of their enterprise.
  • Develops reusable solutions and workarounds that are innovative and demonstrate a deep technical knowledge of the affected products, processes, and the customer environment. Breadth of knowledge covers additional business units, third parties, competitors, and business drivers.
  • Recognized as an advanced subject matter expert of analytic products, applied technologies and processes, combining vendor interoperability knowledge pertaining to complex IT infrastructures.
  • May define interoperability issues between vendors’ products. Is a recognized expert in one or more technologies across an HP Services (HPS) region. Holds a vendor or industry certification in more than one discipline area. Regularly represents HPS at industry recognized technical events.
  • Has performed troubleshooting across a number of significant multi-vendor products.
  • Has demonstrated innovation and ability to communicate new offerings across multiple business units. Has led a cross functional team in the delivery of multiple solutions across multiple technologies.
  • Ability to operate and present at all levels, and in public forums, to facilitate business discussions, and controls and leads those discussions.
  • Demonstrates ability to represent the whole organization within a customer sales presentation, conveying the benefits of working with the business. Ability to lead production of proposals, working across departments, for complex customer solutions.
  • Able to lead, coach and mentor others in consulting skills.
  • Demonstrates ability to develop and win new opportunities through application of consulting skills. Maintains and develops client engagements which are strategic.
  • Ability to relate risks and challenges with other client efforts.
  • Ability to develop detailed project plans and work breakdown structures.
  • Ability to develop Architecture Specification deliverables that map customer business requirements to technologies.

How to apply?

Primary Location – Belgium-Belgium-Diegem
Schedule – Full-time
Shift – Day Job
Travel – Yes, 50 % of the Time
Job Posting – Jan 19, 2015
Job ID: 1359675

 More Jobs ?

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Join our community on linkedin and attend our meetups.
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Job – Mutualités Libres – Onafhankelijke Ziekenfondsen (MLOZ) – Data analist

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Functieomschrijving

De dienst Terugvorderingen en Regionale materies is tweeledig. Enerzijds is het hoofddoel van onze cel Terugvorderingen om de ziekenfondsen te helpen bij het terugvorderen bij hun leden van de bedragen die ze aan hen gestort hebben, maar waarop ze geen recht hadden (vb. verboden cumulaties). De cel Regionale Materies houdt zich dan weer bezig met Vlaamse materies, met name de Vlaamse Zorgverzekering, een verzekering gebaseerd op een bijdrageprincipe voor iedereen, om maandelijkse financiële hulp te kunnen bieden aan zwaar afhankelijke personen voor de verstrekking van niet-medische hulp en diensten.

Als data analist binnen het departement Terugvorderingen en Regionale Materies ben je belast met de analyse, definitie en documentatie van de nood aan informaticaontwikkelingen waarmee je belast bent. Je beheert de opvolging van de dossiers en de modellen die verband houden met jouw domein. (Vlaamse zorgverkering).

  • Je levert kwaliteitsvolle modellen binnen jouw materie
  • Je beheert de verbeteringsaanvragen van onze interne klanten (ziekenfondsen en andere interne departementen) en externe partners (RIZIV, CDZ, bedrijfsrevisors,…)
  • Je verzamelt de gegevens die nodig zijn om een kwaliteitscontrole mogelijk te maken.
  • Je identificeert de modellen en past ze aan in functie van de reglementaire evoluties en dient ontwikkelingsaanvragen in.
  • Je vertegenwoordigt de Landsbond bij interne en externe instanties om er je businessexpertise te verlenen en de standpunten van de organisatie te verdedigen.
  • Je biedt operationele ondersteuning aan de gebruikers en antwoordt op hun vragen.
  • Je stelt de documentatie op en de procedures die eigen zijn aan je materie.

Functie-eisen

  • Je hebt een bachelorsdiploma (informatica, statistieken, economie,…) en je hebt enige beroepservaring
  • Je raakt snel vertrouwd met de informaticatools (kennis van databases en SQL is een pluspunt)Je hebt een analytische geest en je houdt een globaal overzicht over de verschillende dossiers die je behandelt.
  • Je bent creatief bij de oplossingen die je aanbrengt over de bestaande noden
  • Je bent vlot in de omvang en deelt dan ook actief informatie en kennis met anderen
  • Je bent tweetalig (FR/NL)
  • Kennis van het domein van de ziekte- en invaliditeitsverzekering is een pluspunt.

Aanbod

  • Een voltijds contract van onbepaalde duur
  • Een leerrijke en  creatieve job, rijk aan sociaal contact
  • Extra opleidingen om uw competenties te ontwikkelen
  • Een dynamische werkomgeving van Het Nieuwe Werken, met veel aandacht voor teleworking, mobiliteit en moderne technologieën
  • Een aantrekkelijke bezoldiging die rekening houdt met uw competenties en ervaring, met talloze extralegale voordelen (GSM, maaltijdcheques, groepsverzekering…).

How to apply?

 More Jobs ?

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Click here for more Data related job offers.
Join our community on linkedin and attend our meetups.
Follow our twitter account: @datajobsbe

2015 Marketing Technology Landscape (Infographic)–1,876 Companies!

nice overview

What's The Big Data?

marketing_technology_jan2015

Source: chiefmartec.com

Scott Brinker says:

Even I was surprised that the number of vendors nearly doubled from last year’s edition, which charted an already-staggering 947 companies…

My intention with this graphic is to visually demonstrate four points:

  1. Marketing has unquestionably become a technology-powered discipline.
  2. The quantity of martech ventures is a barometer of how much marketing is evolving.
  3. The marketing technology field is heterogenous, with a very broad range of products.
  4. To thrive in this environment, marketing should steadily develop its technical talent.

When you consider the implications of those four points, the “technology management” piece of this is non-trivial — but it’s definitely not the biggest hurdle most companies face. The real challenge is changing how firms think and behave in this hyper-connected, always-on, customer-controlled digital world. The nature of marketing has exploded from an ancillary communications function to the Grand Central Station of customer experience. And the…

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