Seminar – June 22 – SAP Data, Finally With Zero Waiting Time

data_scientist

Getting access to data is always a high priority for all data scientists. Anyone delaying or blocking access to data is often regarded as ‘the enemy’. But when the data source is SAP the challenge takes on a whole new meaning with endless requirement forms and waiting times of geological proportions. Any data scientist in medium-to-large companies will inevitably face this humongous challenge with accessing SAP data.

But what if data scientists had access to all SAP data all the time ?

On 22-Jun, a “Free-Your-SAP-data” seminar will explain how to access all SAP data within days (not years), then let data pour in real-time to fuel science. This seminar will explain the underlying technology and share examples from several of the world’s most popular brands in the food, beverages and manufacturing industries.

Info & agenda :

  • 10h00 Introduction
  • 10h15 How to “free your SAP data”?
  • 11h00 Customer Cases:
    • Handling multiple SAP source systems
    • Integration with non-SAP data
  • 12h00 Networking Lunch

Job – Predicube – Senior Data Scientist

predicube

Senior Data Scientist

Experience: 3+ years of experience
Employment Type: Full-Time
Description:
We are looking for a senior data scientist to expand our growing team. You will be working on your dedicated project related to cross-channel advertising. We offer a dynamic job on the 19th floor of the KBC tower in Antwerp, with possibility to be included in the employees’ stock option program.

If you have good data science skills, a passion for new challenges and knowledge of big data technology, you are our man or woman!
Desired Skills and Expertise:
Expertise

  • Data science and predictive modeling
  • Computer Sience, Physics or Mathematics background

Technology

  • Python, Linux
  • Knowledge about Amazon Web Services (Elastic MapReduce, Spark, etc.) is a definite plus.
  • Ethical reflex concerning privacy-friendly analytics

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 .

Interested? The original job posting is available at this link: http://www.predicube.com/solutions.html#section6

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The essence of Predictive Analytics for Managers – Executive Training

Creating more business value from investments in Big Data and Predictive Analytics through better project definition, project management and better usage of Predictive Analytics projects.

Target audience

Managers of analytical teams, Managers of functional departments (marketing, risk, operations, HR,…), Project managers, CxO.

Details

  • Duration: One afternoon workshop (4h):
    • December 3rd, 2015
  • Location: European Data Innovation Hub @ AXA, Vorstlaan 23, 1170 Brussel
  • Price: 570€ per manager
  • Limited from 8 – 12 participants

Registration:

Please register using Eventbrite following this link.

Motivation:

Fueled by the energy around Big Data projects, an increasing number of managers are attracted to the domain of Big Data and advanced analytics. When successfully applied, analytics provides the key to turn data into big value. Typical goals of such high-impact projects involve:

(i) increase targeted marketing success by predicting response

(ii) increase marketing relevance by offering the right product to the right client,

(iii) decrease risk exposure by predicting credit or fraud risk,

(iv) increase process efficiency,

(v) retain crucial staff members, etc.

Overview:

This training provides a backbone for managing projects in Predictive Analytics that maximally impact the organisation. Put differently, in this workshop we ensure participants reap the maximum return on their analytical investments. Additionally, this training establishes the foundation for fruitful collaboration between analysts, their peers and decision makers.

The workshop is designed as an interactive learning experience packed with best practices illustrated with real domain experience.

Learning objectives:

After the training, participants will be able to define and manage developments in Predictive Analytics. In practice participants will be able to

  • Explain the crucial phases needed to engage in projects in predictive analytics
  • Define a project in predictive analytics in detail, using a concise project definition checklist
  • Understand the essential principles for predictive analytics and why they matter to management
  • Understand the requirements and limitations of predictive analytics
  • Fully understand the output of predictive analytics to increase their impact on the organizational goals

 

Prerequisites:

Before the start of the first session, participants should attempt to define a practical and relevant project within their organisation. At completion of the workshop, it is the aim that managers will be able to further define and understand the steps needed to manage this challenge to success.

 Geert Verstraeten

About the trainer:

Geert Verstraeten (PhD) is a dynamic trainer with a solid background both in predictive analytics and in professional training. Geert has 14 years of experience in building predictive models for organisations in a wide array of industries. Additionally, he has 14 years of academic and industry experience
in training and coaching managers and analysts to succeed with Predictve Analytics. Since 2006, he is managing partner at Python Predictions (www.pythonpredictions.com), a Brussels-based niche player in Predictive Analytics, and was involved in building analytical communities both in Belgium and abroad. Geert is a frequent speaker at academic and business conferences in analytics. Since 2014, Geert is a certified professional trainer.

Certification:

Attendees receive an electronic version of the handouts and a proof of participation at the conclusion of the workshop.

Job – Sentiance – Marketing Data Scientist – Antwerp

sentiance_logo_72dpi

Hi Philippe,

Given the topic of the meetup next Thursday, I think the following job opportunity might be relevant to post on your blog 🙂
At Sentiance we’re looking for a data scientist with experience in market segmentation:
http://www.sentiance.com/team/marketing-data-scientist/
However, we always welcome applications of junior candidates too!
http://www.sentiance.com/team/junior-data-scientist/

Thanks, and hope to see you thursday!
Vincent Spruyt
twitter id: @sentiance

As an experienced data analyst, you are ready to kick-off a new adventure in a fast-paced environment where you can work with the latest machine learning technologies and data science tools.

Job description

  1. You will be part of our Data Science Team and you are passionate about machine learning and data analysis.
  2. Using advanced data analytics, you will form hypotheses and draw meaningful insights about user behavior and user segmentation. As a marketing data scientist, you will explore relations between users and their preferences, discover interesting segments, perform advanced clustering and dimensionality reduction techniques.
  3. You will carry out research that will improve our general understanding of our users, and communicate your findings to other team members in order to initiate new platform development cycles.
  4. You will apply your statistical and mathematical background to real-life big-data problems, and use your machine learning knowledge on a day to day basis.
  5. You will work closely & interact with our Data Engineering Team as your work is used to improve our models and is pushed through our release process.
  6. Your main objectives will be the design and implementation of data mining and analysis algorithms and the communication of reports and quality metrics for current production processes.

Desired Skills & Experience:

  1. You have a masters degree or PhD in computer science or related field.
  2. You are an expert in advanced analytics and are experienced in hypothesis testing.
  3. You possess a deep understanding of clustering, manifold learning and predictive modeling techniques.
  4. You have good knowledge of and experience with any of Python, Matlab or R.
  5. You have a strong mathematical background and analytical mindset.
  6. You are fluent in English. Dutch is a plus.
  7. You can work independently and take matters into your own hands.
  8. The ability to quickly learn new technologies and successfully implement them is essential.

Bonus

Experience with any of the following is considered a plus:

  • Advanced Python knowledge and experience
  • Scikit-learn, Pandas, Numpy, Matplotlib
  • Experience with Spark or the Hadoop eco-system
  • Machine learning, data mining, data visualization

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 .

Send your job application today! 

Please send Sentiance your resume and a strong motivation with reference sentiance/2015/MDS or apply on LinkedIn.

Job – Cropland – Data Scientist – Antwerp

cropland

Data Scientist (M/V): Regio Antwerpen

FUNCTIE:

Je volgt zo autonoom mogelijk dataprojecten op. Je analyseert en correleert de aangeleverde data uit interne en externe bronnen. Je kan data omzetten in relevante informatie. Vanaf jouw eerste dag ben je een volwaardig lid van het team. Indien het onderzoek in opdracht gebeurt van een klant, behoren klantencontacten tot het mogelijke takenpakket. Ook contacten met derde partijen (leveranciers van specifieke systemen of software) zijn mogelijk.

 

PROFIEL EN ERVARING:

Deze functie in een uitgesproken data-technische omgeving vraagt een nieuwe medewerker met de volgende competenties:

  1. Je hebt een master als handelsingenieur of handelswetenschapper, als wiskundige, als statisticus of je hebt een professionele bachelor met voldoende technische en statistische achtergrond. Je bent cijferkundig ingesteld. Een thesis of eindwerk met (big) data als onderwerp is een pluspunt.
  2. Je bent goed vertrouwd met het Nederlands en het Engels en je bezit een basiskennis van het Frans.
  3. Je bent schoolverlater of je hebt al wat ervaring in een (data) technische en/of analyse support functie.  Je kan bewijzen dat je grondig met de materie kan omgaan.
  4. Naast jouw passie voor data en statistiek ben je leergierig en wil je steeds nieuwe dingen bijleren. Je bent vertrouwd met statistische software zoals SPSS, R of SAS maar ook de sociale media kent voor jou geen geheimen.
  5. De software pakketten zoals MS Office en Windows, Mac of UNIX OS zijn basiskennis.  Ook kennis van databank technologie is een must. Ervaring met een business intelligence reporting software en kennis van ETL is een toegevoegde waarde.
  6. Je bent een zelfstarter en het ontbreekt je niet aan doorzettingsvermogen. Je bent steeds op zoek naar nieuwe opportuniteiten om Cropland toepassingen in de markt te zetten. Je handelt daarbij resultaatgericht en met zin voor nauwkeurigheid en kwaliteit in zowel de uitvoering als de opvolging.
  7. You walk the talk. Je blijft steeds oprecht en integer zowel bij klanten als bij de collega’s van Cropland. Je bent betrouwbaar en constant. Je komt uit voor jouw eigen mening en je durft vragen stellen. Je wil gecoacht worden door professionals.
  8. Maar het meest van al heb je zin om zelf dingen te ondernemen.

 

WAT KAN CROPLAND JOU BIEDEN?

  • Een uitdagende, boeiende functie met een hoge graad van zelfstandigheid waarin je impact hebt op het resultaat van de Cropland klant
  • Een hoog-professionele en technische consulting omgeving
  • Persoonlijke ontwikkelingsmogelijkheden
  • Een aantrekkelijk salaris met een motiverend bonussysteem en tal van extra-legale keuzemogelijkheden
  • Mogelijkheid tot beperkt gebruik van home office.

 

Geïnteresseerd? Nog vragen? Contacteer Peter Rakers per telefoon +32 495 207 204 of per mail peter@cropland.be. Voor meer informatie kan je altijd bellen tussen 09u en 21u in de week of ‘s zaterdags tussen 09u en 11u. Je kan jouw CV en korte motivatie rechtstreeks sturen naar Peter Rakers.

Cropland garandeert u een snelle en vertrouwelijke reactie op uw kandidatuur.

 

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Event – Antwerp – Data Mining for Auditing and Fraud Detection

Antwerp Tax Academy

Data Mining for Auditing and Fraud Detection

Date: 06/11/2014 until 06/11/2014
At: 14:00

Program

  • 14.00-14.05 pm: Welcome by representative UAntwerp
  • 14.05-14.25 pm: Introduction by State Secretary for Social and Fiscal Fraud John Crombez
  • 14.30-15.15 pm: Introduction to Data Mining and a Case in Residence Fraud Detection by prof. dr. ir. David Martens (UAntwerp)
  • 15.15-16.00 pm: Data Analysis for Better Auditing and Policy Making by Rudy Genbrugge (DG for Agriculture and Rural Development, European Commission)
  • 16.00-16.15 pm: Break
  • 16.15-17.00 pm: Process Mining for Auditing and Fraud Detection by prof. dr. ir. Wil van der Aelst (TU Eindhoven)
  • 17.00-17.45 pm: Panel discussion on the application and use of data mining with questions from the audience

    Panel led by representatives of ATA and

    • Willem Debeuckelaere (president Belgian Privacy Committee)
    • John Crombez (Belgian State Secretary for Fraud)
    • Harold Van Koeckhoven (CEO of the Institute of Internal Auditors (IIA) – Belgium)
    • Dierk op ‘t Eynde (Coordinator data mining at FOD Financiën)
    • Luc Toelen (Instituut der Bedrijfsrevisoren)
  • 17.45-17.50 pm: Closing remarks by representative AMS, followed by reception.

Practical info

In collaboration with

  • Antwerp Tax Academy
  • Antwerp Management School
  • Association of Certified Fraud Examiners.