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
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.
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.
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.
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;
Our meetup of 10 September was a real success. Apparently people really want to get hands-on experience with working with Neo4j, and being briefed on general issues around graph databases. Rik Van Bruggen has kindly agreed to do a repeat of this very successful evening, on Thursday 19 November, starting 18:00, again in the training centre of AXA, 23 Boulevard du Souverain, 1170 (Watermaal-Bosvoorde) Brussels. Read more about the event, and reserve your seat through http://www.meetup.com/graphdb-belgium/events/225605617/.
The biggest Google tech conference in Belgium carefully crafted for you by GDG community! All about Android, Web and IoT from the world experts. 3-4 October in Brussels, Famoco/Ateliers des Tanneurs, Rue des Tanneurs 58-62, Brussels, Belgium
Hi Philippe, Thanks for sharing this job oportunity.
kind regards, Frank
The Customer Insight Team provides studies on the clients’ behavior and desires based on data they left behind when they visit our Carrefour stores and website.
The Customer Intelligence Analyst will fulfill a central role within the organization. With data driven analysis, you will advise on the best courses of action which will lead to a better satisfaction for our customers and to better profits for Carrefour.
To take responsibility for the provision of reporting and analysis, and the translation of this into actions, that will guide Carrefour‘s Management team and business in how to increase profit
To identify the totality of all the client analysis, to assess their impact and feasibility of the studies, but also measure the value for the business
To build and manage relationships with management teams that use the database across Carrefour, in order to identify and effectively support information and analytical business needs
To follow up all analysis requests
To create analysis designs and (if needed) to coach the other analysts
To extract data from the DWH and to translate this into relevant information, to combine data and to make correlations
To make synthesis and to create presentation with recommendations
To create innovative solutions and to automatise recurrent queries
A great communicator with sufficient business acumen who can think innovatively and critically, you must be able to find insight from a variety of data sources and present your insight and ideas even to the Top Management!
Customer focused with excellent analytical and numerical skills, you should also have a real talent for collating, restructuring, analysing and interpreting customer and consumer data.
Minimum 3 years experience in a similar role or as a data analyst
French or Dutch knowledge is a must for the job
Experience of using SQL and SAS programmation tools (Base, Macro, graph, proc/SQL)
Experience of using a statistics software (SAS STAT, IBM Modeler, SPSS Base, SAP KXEN, TIMi, R)
Carrefour offers a permanent contract (no free lance contractors) plus a
insurances (health and pension plan)
work within a Belgian company holding one of the biggest customer databases
an exciting job in which you can develop your skills and knowledge through training
the opportunity to be part of the success of the second greatest player of worldwide distribution
Jan Wijffels is the founder ofwww.bnosac.be – a consultancy company specialised in statistical analysis and data mining. He holds a Master in Commercial Engineering, a MSc in Statistics and a Master in Artificial Intelligence and has been using R for 8 years, developing and deploying R-based solutions for clients in the private sector. He has developed and co-developed the R packages ETLUtils and ffbase.
The Brussels Data Science Community has a limited number of discounted tickets at 250 euro instead of 395 euro. Please contact @pvanimpe to get your discount code. Click here to register for the conference.
Knowing What’s Next to Optimise Todays Analytical Infrastructure
Predicting the future of analytics is no trivial matter. But it is possible to draw up scenarios, sketches of future technologies which may prove disruptive for your present analytics infrastructure. Which technology providers will take the lead in the Big Data domain? That is why Business Analytics for All is connecting technology and business thought leaders to maximum insight in these future scenarios. Both the plenary and the parallel sessions ensure an educational experience beyond the sales talk. At Business Analytics for All, content is key!
Topics covered: Cloud based Analytics, Self-Service BI, Agile Analytics, In memory and prescriptive Analytics, Location Analytics, Latest technologies in Analytics.
The great news is that you can also bring a colleague for free: Bring Your Business Colleague! If you, a business or IT end-user, register for this Business Perspective session, whether you are a member or not, you can bring a colleague from the business side for FREE.
For a detailed agenda please visit the event page on our website here.
Demand for Data science talent is exploding. Learn these essentials with experts from M.I.T and the industry, partnering with Microsoft to help develop your career as a data scientist. By the end of this course, you will know how to build and derive insights from data science and machine learning models. You will learn key concepts in data acquisition, preparation, exploration and visualization along with examples on how to build a cloud data science solution using Azure Machine Learning, R & Python.
Data Science is an essential skill for analyzing and deriving useful insights from data, big and small. McKinsey estimates that by 2018, a 500,000 strong workforce of data scientists will be needed in US alone. The resulting talent gap must be filled by a new generation of data scientists.
This course is organized into 5 weekly modules each concluding with a quiz. By achieving a passing grade in the final course assessment you will receive a certificate demonstrating that you have acquired data science skills and knowledge. Apart from answering your questions on the forum, faculty will host an office hour to address questions you may have while undertaking this course.
Get an ID verified certificate to demonstrate your data science knowledge and share on Linked-in.
What you’ll learn
The data science process
Overview of data science theory
Data acquisition, ingestion, sampling, quantization, cleaning and transformation
Building data science workflows with Azure ML
Data science tools including R, Python and SQL
Data exploration and visualization
Building and evaluating machine learning models
Publishing machine learning models with the Azure ML
The European Data Innovation Hub is partnering with top experts to offer MOOC participants the possibility to do these online courses in group. During the duration of the Mooc participants will be welcome to come to the Hub in Brussels to work and to go through exercises with other participants. On specific days one or more domain expert will be present to coach the students.
Fueled by the energy around Big Data projects, an increasing number of managers are attracted to the domain of analytics. When successfully applied, analytics provides the key to turn data into big value. But how do we ensure organisations reap the maximum return on their investments? How to increase the impact advanced analytical teams have on their organisations? This training provides a backbone for managing projects in Predictive Analytics that maximally impact the organisation. Additionally, this training establishes the foundation for fruitful collaboration between…
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.
You will be part of our Data Science Team and you are passionate about machine learning and data analysis.
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.
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.
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.
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.
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:
You have a masters degree or PhD in computer science or related field.
You are an expert in advanced analytics and are experienced in hypothesis testing.
You possess a deep understanding of clustering, manifold learning and predictive modeling techniques.
You have good knowledge of and experience with any of Python, Matlab or R.
You have a strong mathematical background and analytical mindset.
You are fluent in English. Dutch is a plus.
You can work independently and take matters into your own hands.
The ability to quickly learn new technologies and successfully implement them is essential.
Experience with any of the following is considered a plus:
Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand challenges.
Our community is driven by the doing-for-good initiative. This is why we have in the past supported and implemented different data-4-good initiativessuch as the one we did for Médecins sans frontières. Not only are we planning to do another major data-4-good hackathon this year, we also want to continue our efforts in data-education and focus on helping young professionals to do an interesting traineeship in an innovative data environment. To manage all these activities we have founded the European Data Innovation Hub vzw/asbl, a non-for-profit organization based in Brussels.
Here is a nice article published this summer in Fortune showing how companies are forging ahead to tackle the world’s most intransigent problems. If your company wants to be part of this movement, you can become one of our Innovation Partners.
Business-as-usual is changing. The conventional wisdom that capitalism comes at great cost to society is being challenged. Instead, we’ve observed that the most innovative companies are using those same market drivers – the ones that have until now been a cause of such criticism and skepticism –as drivers for positive change in the world.
Fortune’s new “Change the World”list contributes to this trend. As Fortune Editor Alan Murray explains, “It is meant to shine a spotlight on companies that have made significant progress addressing major social problems as a core part of their business strategy.” FSG and the Shared Value Initiative lent our expertise to help collect and vet nominations for the list.
This is the first list of its kind in which companies are recognized – and competitively ranked – on business innovations that positively impact pressing social and environmental issues. The presence of such a list in the pages of Fortune is news itself as when we first wrote about shared value in 2011, companies creating shared value were more the exception than the rule. TheFortune “Change the World” List shows us that the concept of aligning business opportunity and social impact is moving into the mainstream.
On the “Change the World” list, you’ll find familiar companies that we’ve highlighted in the past as well as a few surprises – but to be clear, this is not a “good company” ranking. Murray puts it best: “We recognize these are large global companies with complex operations that may be ameliorating one great global problem even as they contribute to another.”
But one thing the “Change the World” companies all have in common is that they recognize the business value in addressing societal needs. In their quest for profits, they are driving innovations that improve health outcomes, make progress on climate change, provide better access to education, and create new economic opportunities for those in poverty. They realize that business can – and must – compete to change the world.