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 – Python Predictions – data scientists.

Screenshot 2016-06-30 13.51.09

Hi Philippe,

We’re looking for some great new people again.
Would be great if you could give us some visibility for our search.
Candidates can simply send CV and (e)mail of motivation to jobs@pythonpredictions.com
More details in the links or text below
Thanks!!!
Geert
Data Scientist
Python Predictions – Bruxelles Woluwe-Saint-Pierre
Python Predictions is a Brussels-based consulting firm founded in 2006 and specialized in data science and predictive analytics. We are currently looking for data scientists.

Responsibilities

  • In-company data science projects for our clients
  • Contribute to explorative, descriptive and predictive analysis

Required skills or education

  • Proven interest and skills in data science and analytics
  • Proven interest and skills in at least one analytical programming language
  • Work flexibly in rapidly changing environments
  • Good visualisation and communication skills
  • Understand business problems

Personality

  • Analytical mindset
  • Open minded
  • Integrity
  • Critical of the output produced

Language skills

  • Working knowledge of Dutch, French and English

How to apply?
Send us your curriculum vitae and brief letter of motivation.We need both documents in order to consider your application.

More details
http://pythonpredictions.com/jobs/come-mine-with-us/

About us
Why should you apply for a position at Python Predictions? We believe we understand as no others what makes analysts tick. We believe that successful analysts must possess and develop a number of very distinct skills, ranging from social to technical, from intuitive to analytical. Putting these skills to work on real-life analytical projects is rewarding. And we provide a stimulating environment with focus on innovation and cooperation. Find our more about our activities on www.pythonpredictions.com

Job Type: Full-time

Required languages:

  • Dutch
  • English
  • French

Job – DATA DEVELOPER @ SALESFLARE

Salesflare
Salesflare, the intelligent sales CRM, currently has a very interesting spot available in their team.
If you are interested to work both as a full-stack developer and with data, and if you want to build the sales CRM of the future, read on to see what Salesflare has to offer!
DATA DEVELOPER @ SALESFLARE
As a Data Developer, you will build the next generation of Salesflare, together with the top team and in collaboration with iMinds UGent Data Science Lab.
You will work as a full-stack web developer, developing front to back in JavaScript, using both Node.js and Angular.js in an agile environment.  You will however not just be building new functionality for Salesflare, but also transitioning its entire architecture from a set-up built on MySQL, to a platform that bridges MySQL (for things like user management), Elastic Search (for searching historical event data), Redis (as a short term event cache) and Neo4j (to store the information about the sales teams’s social network).
This new architecture will host an enormous pool of data, acquired from data sources like the email server, calendar system, phones, social media, email & web tracking technology, and more. And this very data will be used to provide intelligent suggestions, like social links, action detection, sentiment alerts, detection of data that needs to be updated, enhanced sales forecasts, …
If you are enthusiastic about working with new technologies, this is the place to be. We offer a salary that is at market level plus stock options, a rewarding experience in a top performing (and fun) team, and lots of responsibility. What we expect: 100% dedication to make Salesflare the best sales CRM in the world.
Interested? Email your CV or LinkedIn/Github profile to jeroen@salesflare.com.

Job – Artycs – SENIOR DATA SCIENTIST – Brussels

Artycs

The team of Artycs are active members of the Brussels Data Science Community and their offices are located in the European Data Innovation HUB, an incubator focused on data related startups.

ARTYCS is a start-up providing advisory services on Big Data strategy, full end-to-end management and delivery of data analytics projects and sourcing of data science related profiles. 

ARTYCS stands for “The Art of Analytics”. This represents our main values i.e. state of the art analytics skills combined with creativity and innovation in a client oriented mindset. 

At ARTYCS, we invest in Research & Development to work with the latest methods and technologies.

Being part of ARTYCS is the will to progress, to be an entrepreneur and to grow as an individual and as a company.

Becoming an employee at ARTYCS means working in a dynamic environment where there is room for new ideas and entrepreneurship.

At ARTYCS, we know that being a Data Scientist requires an extended set of key skills. We know also that Data Science is a dynamic field. For this reason, we are committed in developing our staff through an active Data Science Development Program. Concretely, this means that during your career at ARTYCS, you will be provided with a development plan that will clearly state the list of trainings you will follow and their timing, the development points for which you will receive coaching from our senior management on a regular basis, the data science events you will attend. With this program, we aim not only at developing our Data Scientists but also at ensuring that they are at the forefront of Data Science.

For one of our clients, a key player in financial services based in Brussels, we are looking for a Data Scientist. This is an exciting and challenging position as the candidate will join a dynamic, successful and rapidly growing team responsible for handling a large variety of Big Data business use cases. The candidate will be key in delivering the business use cases and expanding the reach of the team.

In this context ARTYCS is looking for a Senior Data Scientist to integrate our DS team, to take part to studies at clients and to be an active resource in the growth of the company:

Job description

Skills

  • Ability to learn quickly, adjust to changes and think outside the box
  • Creativity, curiosity and no non-sense approach
  • Positive attitude, self-motivated and confident
  • Excellent time management and organizational skills with attention to detail
  • Experience working with customers to identify and clarify requirements and ways to meet needs
  • Strong verbal and written communication skills, good customer relationship skills
  • Stay abreast of new tools and technologies to practice up-to-date data analytics strategies

Qualifications

  • Master’s degree in statistics, applied mathematics, or a related quantitative field
  • Strong experience with high-level programming languages such Python & R
  • Knowledge on Java and Scala is an asset
  • Work experience using applied machine learning or statistical modelling; knowledge of algorithms spanning clustering, regression, classification, mixture models, etc…
  • Experience with command line tools, relational databases (i.e. SQL), data visualization (Shiny, and version control (i.e. git)
  • Broad based understanding of the Hadoop ecosystem
  • Experience with Open Source big data technologies like Spark, Pig, Hive, HBase, Kafka, Storm
  • Knowledge of data extraction and ETL is a must
  • Knowledge of financial sector is a plus

Description of the position

  • Job Title: Senior Data Scientist
  • Location: Brussels, Belgium

For this position, we offer an attractive salary package including benefits (e.g. lunch vouchers, phone, company car, etc) and a variable part, depending on the seniority of the candidate. 

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? Contact Laurent Fayet (0476/79.46.28),  laurent.fayet@artycs.euhttp://www.artycs.eu

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Job- Python Predictions – Data Miner -Brussels

python

Hallo Philippe, 
Het is hier enorm druk en daarom gaan we weer op zoek naar goed volk.
Hebben net een leuke campagne gelanceerd – zou leuk zijn als die bij jullie ook wat aandacht zou kunnen krijgen. 
Come mine with us

Thanks!
Geert

here is the link 

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 .

Python Predictions is a Brussels-based consulting firm specialized in Predictive Analytics and we’re currently looking for data scientists. Send your resume and letter of motivation to jobs@pythonpredictions.com or visit pythonpredictions.com

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

Improve your skills:

Why don’t you join one of our  #datascience trainings in order to sharpen your skills.

Special rates apply if you are a job seeker.

Here are some training highlights for the coming months:

Check out the full agenda here.

Join the experts at our Meetups:

Each month we organize a Meetup in Brussels focused on a specific DataScience topic.

Brussels Data Science Meetup

Brussels, BE
1,412 Business & Data Science pro’s

The Brussels Data Science Community:Mission:  Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand cha…

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DATA UNIFICATION IN CORPORATE ENVIRONMENTS

Wednesday, Oct 14, 2015, 6:30 PM
46 Attending

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Job – NG Data – Freelance Data Scientist – Urgent

NG-DATA-logo

Beste Philippe,
Mocht je in je netwerk data-science freelancers hebben die op zoek zijn naar een project (of is dit een contradictie?), wil je ze dan te kennen geven dat NGDATA dringend op zoek is naar mensen?

Van harte bedankt,
Bart De Neve
bartdn@ngdata.com

Job Description

In the era of Big Data, data is not useful until we identify patterns, apply context and intelligence. The data scientist, as an emerging career path, is at the core of organizational success with Big Data and for humanizing the data to help businesses better understands their consumer.

As a data scientist, you sift through the explosion of data to discover what the data is telling you. You figure out “what questions to ask” so that relevant information hidden in the large volumes and varieties of data can be extracted. The Data Scientist will be responsible for designing and implementing processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes.

Opportunities

  • Be a true partner in defining the solutions, have and develop business acumen and bring technical perspective in furthering the product and business;
  • Aggregate data from various sources;
  • Help define, design, and build projects that leverage our data;
  • Develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data;
  • Determine and implement mechanisms to improve our data quality;
  • Deliver clear, well-communicated and complete design documents;
  • Ability to work in a team as well as independently and deliver on aggressive goals;
  • Exhibit Creativity and resourcefulness at problem solving while collaborating and working effectively with best in class designers, engineers of different technical backgrounds, architects and product managers.

Personal Skills

  • You have a logical approach to the solution of problems and good conceptual ability and skills in analysis;
  • You have the ability to integrate research and best practices into problem avoidance and continuous improvement
  • You possess good interpersonal skills;
  • You are self reliant and capable of both independent work and as member of a team;
  • You are persistent, accurate, imaginative;
  • You are able and have the discipline to document and record results;
  • Be customer service oriented;
  • Be open minded and solution oriented;
  • You enjoy constantly expanding your knowledge base;
  • You are willing to travel up to five days per month.

Technical Background

The successful candidate should have 5+ years experience in large-scale software development, with at least 3 years in Hadoop. Have a strong cross-functional technical background, excellent written/oral communication skills, and a willingness and capacity to expand their leadership and technical skills.

  • BS / MS in computer Science;
  • Strong understanding of data mining and machine learning algorithms, data structures and related core software engineering concepts;
  • Understanding the concepts of Hadoop, HBase and other big data technologies; Understanding of marketing processes in the financial and or retail market;
  • Have a sound knowledge of SPSS and SQL

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 .

Open Positions at NG data:

Apply Today!

Upload your resume or send it to jobs@ngdata.com. We look forward to your application!

Spontaneous Application

Currently no jobs available that fit your profile? Upload your resume and we’ll contact you as soon as we have a job opening that fits your profile!

Apply online

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

Improve your skills:

Why don’t you join one of our  #datascience trainings in order to sharpen your skills.

Special rates apply if you are a job seeker.

Here are some training highlights for the coming months:

Check out the full agenda here.

Join the experts at our Meetups:

Each month we organize a Meetup in Brussels focused on a specific DataScience topic.

Brussels Data Science Meetup

Brussels, BE
1,398 Business & Data Science pro’s

The Brussels Data Science Community:Mission:  Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand cha…

Next Meetup

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Thursday, Oct 22, 2015, 6:30 PM
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Job – IÉSEG School – Lille – Ph.D. CANDIDATES IN BIG DATA MARKETING ANALYTICS

logo_site_icma

JOB OPENING: Ph.D. CANDIDATES IN BIG DATA MARKETING ANALYTICS

The IÉSEG School of Management (Lille, France) is searching for PhD candidates in the field of big data marketing analytics. The content of the PhD is defined in the field of marketing analytics in a financial services or (r)etail context in collaboration with leading French institutions. The PhD candidates will get all the means and support to engage in innovative business relevant research projects with high potential to get published in international peer-reviewed journals. The Ph.D. students will integrate into the IÉSEG Center for Marketing Analytics team (http://icma.ieseg.fr).

The aim is to obtain the degree of PhD after 3 years.

About the IÉSEG School of Management

  • IÉSEG is AACSB and EQUIS accredited and is an active member of the ‘Conférence des Grandes Écoles’.
  • IÉSEG is one of the leading French business Schools in terms of research. The IÉSEG Research Center is accredited by the French CNRS (National Center for Scientific Research). IÉSEG promotes research and provides resources for active scholars.
  • The IÉSEG faculty is highly qualified and very diverse with 32 nationalities represented.
  • IÉSEG offers Bachelor and Master Degrees as well as Executive Education programs.
  • IÉSEG ranks 21st in the most recent Financial Times ranking of Masters in Management.
  • The Lille Campus is in the heart of the Northern French city. More information about IÉSEG School of Management is available online at: http://www.ieseg.fr

Qualifications of the PhD candidates

  • A profound interest to do high-quality academic research with a clear added value for business in an international environment.
  • A passion for big data and its analytical opportunities to improve customer relationships and company’s marketing strategy.
  • Obtained a master in Computational Linguistics, Engineering, Data Mining, Text Mining, Statistics, Computer Science or similar.
  • A degree in business, marketing or communication is a plus. 2/2
  • Programming skills of at least one statistical software language such as SAS/Base, SAS/Macro, SAS/Stat, SAS/IML, R and/or SQL are essential.
  • Notions of Matlab, C++, FORTRAN, Java SPARK or Python are a plus.
  • Fluent in English. Ability to write high-standard text in English.
  • Dynamic, pro-active, creative and serious personality.
  • Fluency in French is a plus.

Working conditions of the PhD candidates

The PhD students will work under the conditions of a research contract for a period of 3 years starting the latest in December 2015. Salary conditions are in line with the French research system.

Supervision of the PhD candidate

The PhD student will be supported by a multi-disciplinary team by Prof. dr. Kristof Coussement and Prof. dr. Koen W. De Bock, and surrounded by their international research network.

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 link to the original job add.

The positions are being filled up as they are coming in. Interested? Please send your motivation letter and your curriculum vitae to icma@ieseg.fr .

 

Why don’t you follow these courses to boost your datascience skills ?

The European Data Innovation Hub organizes trainings and hands-on workshops about bigdata and datascience.

Here is the agenda:

Data Innovation Training Hub

Brussels, BE
101 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…

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Hiring Data Scientists: What to Look for?

datascienceapps

Check out the latest article in Data Science Briefings, the newsletter with updates on the latest news, trends, techniques, tools and our research in data mining and analytics.

Feel free to send this newsletter along to friends or colleagues; they can subscribe for free as well through our subscribe page. We keep an online record of our feature articles and QA’s over at www.dataminingapps.com as well, in case you want to catch up if you’re just joining us.

Kindest regards,
Prof. dr. Bart Baesens
Dr. Seppe vanden Broucke

Feature Article: Hiring Data Scientists: What to Look for?

Contributed by: Bart Baesens, Richard Weber, Cristián BravoSeppe vanden Broucke

In this column, we would like to elaborate on the key characteristics of a good data scientist from the perspective of the hiring manager. Big data and analytics are all around these days. IBM projects that every day we generate 2.5 quintillion bytes of data. In relative terms, this means 90% of the data in the world has been created in the last two years. Gartner projects that during 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage and about 4.4 million jobs will be created around big data. Although these estimates should not be interpreted in absolute sense, they are a strong indication of the ubiquity of big data and the strong need for analytical skills and resources, because as the data piles up, managing and analyzing these data resources in the best way become critical success factors in creating competitive advantage and strategic leverage.

To address these challenges, companies are hiring data scientists. However, in the industry, there are strong misconceptions and disagreements about what constitutes a good data scientist.

In this article, we will discuss the key characteristics of what makes up a good data scientist. It is based upon the authors’ consulting and research experience, having collaborated with many companies world-wide on the topic of big data and analytics.

A data scientist should be a good programmer

As per definition, data scientists work with data. This involves plenty of activities such as sampling and preprocessing of data, model estimation and post-processing (e.g. sensitivity analysis, model deployment; backtesting, model validation). Although many user-friendly software tools are on the market nowadays to automate this, every analytical exercise requires tailored steps to tackle the specificities of a particular business problem. In order to successfully perform these steps, programming needs to be done. Hence, a good data scientist should possess sound programming skills in e.g. R, Python, SAS, … The programming language itself is not that important as such, as long as he/she is familiar with the basic concepts of programming and knows how to use these to automate repetitive tasks or perform specific routines.

A data scientist should have solid quantitative skills

Obviously, a data scientist should have a thorough background in statistics, machine learning and/or data mining. The distinction between these various disciplines is getting more and more blurred and is actually not that relevant. They all provide a set of quantitative techniques to analyze data and find business relevant patterns within a particular context (e.g. risk management, fraud detection, marketing analytics, …). The data scientist should be aware of which technique can be applied when and how. He/she should not focus too much on the underlying mathematical (e.g. optimization) details but rather have a good understanding of what analytical problem a technique solves, and how its results should be interpreted. In this, the local formation of engineers in computer science and business/industrial engineering should aim at an integrated, multidisciplinary view, with recent grads formed in both the use of the techniques, and with the business acumen necessary to bring new endeavors to fruition. Also important in this context is to spend enough time validating the analytical results obtained so as to avoid situations often referred to as data massage and/or data torture whereby data is (intentionally) misrepresented and/or too much focus is spent discussing spurious correlations. When selecting the optimal quantitative technique, the data scientist should take into account the specificities of the business problem. Typical requirements for analytical models are:

  • actionability (to what extent is the analytical model solving the business problem?),
  • performance (what is the statistical performance of the analytical model?),
  • interpretability (can the analytical model be easily explained to decision makers?),
  • operational efficiency (how much efforts are needed to setup, evaluate and monitor the analytical model?),
  • regulatory compliance (is the model in line with regulation?)
  • and economical cost (what is the cost of setting up, running and maintaining the model?).

Based upon a combination of these requirements, the data scientist should be capable of selecting the best analytical technique to solve the business problem.

A data scientist should excel in communication and visualization skills

Like it or not, but analytics is a technical exercise. At this moment, there is a huge gap between the analytical models and the business users. To bridge this gap, communication and visualization facilities are key! Hence, a data scientist should know how to represent analytical models and their accompanying statistics and reports in user-friendly ways using e.g. traffic light approaches, OLAP (on-line analytical processing) facilities, If-then business rules, … He/she should be capable of communicating the right amount of information without getting lost into complex (e.g. statistical) details which will inhibit a model’s successful deployment. By doing so, business users will better understand the characteristics and behavior in their (big) data which will improve their attitude towards and acceptance of the resulting analytical models. Educational institutions must learn to balance, since it is known that many academic degrees form students that are skewed to either too much analytical or too much practical knowledge.

A data scientist should have a solid business understanding

While this might be obvious, we have witnessed (too) many data science projects that failed since the respective analyst did not understand the business problem at hand. By “business” we refer to the respective application area, which could be e.g. churn prediction or credit scoring in a real business context or astronomy or medicine if the respective data to be analyzed stem from such areas.

A data scientist should be creative

A data scientist needs creativity on at least two levels. First, on a technical level, it is important to be creative with regard to feature selection, data transformation and cleaning. These steps of the standard knowledge discovery process have to be adapted to each particular application and often the “right guess” could make a big difference. Second, big data and analytics is a fast evolving field! New problems, technologies and corresponding challenges pop up on an ongoing basis. It is important that a data scientist keeps up with these new evolutions and technologies and has enough creativity to see how they can create new business opportunities.

Conclusion

In this article, we provided a brief overview of characteristics to be looked for when hiring data scientists. To summarize, given the multidisciplinary nature of big data and analytics, a data scientist should possess a mix of skills: programming, quantitative modelling, communication and visualization, business understanding, and creativity! The below given figure shows how to represent such a profile.

datascience

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Job – Goudengids – Customer Intelligence Analyst

goudengids
Martine Mols   Martine Mols, Recruitment Officer at goudengids.be
Blij verrast om zo’n uitgebouwde community te zien van mensen die een interesse delen in data. goudengids.be is vandaag op zoek naar een Customer Intelligence Analyst  zouden jullie de vacature willen verspreiden?

Jouw uitdaging

Als Customer Intelligence Analyst analyseer je data uit verschillende interne en externe databronnen, waarbij je business gerichte acties formuleert. Je bouwt inzichten die onze business sturen. Je ondersteunt mee onze klanten segmentatie en identificeert en voorspelt het gedrag van onze klanten.

Een greep uit je takenpakket:

  • Onderhouden van ons segmentatie model in SAS
  • Bouwen van relevante markt inzichten op gebaseerd op verzamelde analyses
  • Identificeren van patronen in onze segmentatie om toekomstig gedrag en engagement te voorspellen
  • Op basis van analyses aanbevelingen doen voor toekomstgerichte acties.
  • Ontwikkelen van rapporteringen die waardevolle inzichten leveren voor onze verschillende departementen.

Op deze manier draag je Customer Intelligence Analyst op sterke wijze bij aan de strategische beslissingen die binnen goudengids.be genomen worden.

Heb ik het?

Onze ideale Customer Intelligence Analyst herkent zich in deze beschrijving:

  • Je bent een passionele number cruncher
  • Je hebt een bachelor of master in Economie, Statistiek of Wiskunde
  • Je kan terugvallen op 3 tot 5 jaar ervaring als Business Analyst
  • Je hebt een goede kennis van SAS en SQL
  • Kennis van online marketingtechnieken is een pluspunt
  • Je hebt een kennis van één van beide landstalen, aangevuld met goede kennis van Engels

What’s in it for me?

  • Bijdragen aan de verandering van Goudengids.be
  • Je kijkt verder dan de cijfers en draagt onmiddellijk jouw steentje bij tot het resultaat
  • Een stimulerende werkomgeving
  • Voortdurende coaching, training en ondersteuning
  • Ontwikkelingsmogelijkheden
  • Een marktconform salarispakket

Bij goudengids.beTM gaan we voor de klant, knappe prestaties, open en eerlijke communicatie en voor heel wat werkvreugde. Dit uit zich in een permanente aandacht voor de tevredenheid van onze klanten én onze medewerkers.

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 link to the original job add.

Please apply here.

 

Why don’t you follow these courses to boost your datascience skills ?

The European Data Innovation Hub organizes trainings and hands-on workshops about bigdata and datascience.

Here is the agenda:

Data Innovation Training Hub

Brussels, BE
83 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

Day 5 of the Coached Mooc on Machine learning

Thursday, Jun 11, 2015, 7:00 PM
2 Attending

Check out this Meetup Group →

 

Job – Euroclear – Data Scientist – Brussels Area, Belgium

Euroclear

Laurent Fayet Laurent Fayet, Business Intelligence and Analytics Leader, is recruiting ! You cancontact him directly if you have questions.

Job description

The ADM ( Application Development and Maintenance) division ensures Euroclear’s competitiveness by delivering reliable and sustainable IT solutions for the financial securities markets.

The Data Analytics team is responsible for all Big Data and Analytics related matters throughout the organization and is looking for a new Data Scientist.
The team is in charge of collecting, analysing and reporting data in the context of Advanced Analytics.

As our new Data Scientist, you:
• should fully adhere to the curious, collaborative and innovative mindset of the team,
• play a key role in transforming a business question or gap into deliverables such as analytical tools, predictive models, etc.
• generate actionable insight for business users,
• use methods, amongst others, such as machine learning, natural language processing, fuzzy matching, etc.
• are flexible enough to manage multi-dimensional data sources and formats as well as a large panel of Analytics techniques commonly applied in Operational, Risk and client Analytics.
As a Data Scientist at Euroclear, you work in close collaboration with internal business users to provide them with extended business insight serving their purposes. Your core objectives are to create value out of data and to experiment new technologies in order to develop capabilities within the company.
In order to reach these objectives, you will:
• Manipulate internal and external data sources and conduct Data Analysis in order to produce quality and actionable outputs in a timely manner (+/- 8 weeks per case)
• Build models to process varied and massive data sets using Big Data technologies,
• Build tools for enhanced data visualization and trend reporting
• Deliver Analytics results and tools as intelligence that is actionable by business end-users
• Actively participate in the assessment of the evolution of the Euroclear Analytics platform in terms of softwares.
• Contribute to new ideas (products) development and piloting

Desired Skills and Experience

• You are able to learn quickly, adjust to changes and think outside the box
• You have a strong interest in financial industry business. A previous experience in the financial sector back office will be considered as an asset
• You have good verbal/written and inter-personal skills
• You are self-motivated and confident with a positive attitude,
• You have excellent time management and organizational skills with attention to details
• You are willing to develop innovative, re-usable tools that can be leveraged by business units across the firm
• You stay abreast of new tools and technologies to practice up-to-date data analytic strategies

Your qualifications are the following:
• Master’s degree in statistics, applied mathematics, or a related quantitative field
• 2+ years of experience in data analysis
• 2+ years of experience with open source statistical programming languages (i.e. R)
• Experience in data transformation
• Familiarity with data mining techniques
• Work experience using applied machine learning or statistical modelling; knowledge of algorithms spanning clustering, regression, classification, mixture models, graphical models, Bayesian statistics, and probabilistic modelling
• Experience with command line tools, relational databases (i.e. SQL), data visualization, and version control (i.e. git)

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 link to the original job add.

Please Apply Online

 

Why don’t you follow these courses to boost your datascience skills ?

The European Data Innovation Hub organizes trainings and hands-on workshops about bigdata and datascience.

Here is the agenda:

Data Innovation Training Hub

Brussels, BE
43 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

Coached Mooc – Introduction to Big Data with Apache Spark

Tuesday, Jun 2, 2015, 7:00 PM
18 Attending

Check out this Meetup Group →