Job – Sentiance – Marketing Data Scientist – Antwerp


Hi Philippe,

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

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.


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


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 .

Send your job application today! 

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

Free Training – Python for Data Science – Brussels

In the past few years, Python has emerged as a solid platform for data science. ¬† Couple a mature, clean and expressive language with powerful, fully-featured libraries for data wrangling and machine learning, and you’re set up for maximum productivity.¬† Easily ingest your data from practically anywhere using one of Python’s thousands of free libraries.¬† Effortlessly turn hundreds of convoluted lines of obscure model code into just a few lines of near-English prose.¬† Add a few annotations and get maximum performance without drowning in pools of unnecessary boilerplate code.¬† Present your results in beautiful living notebooks that seamlessly mix text, code and graphs.¬† Whether you do all your modeling in R, you’ve written nothing but Matlab since university, or you swear by C# or (gasp!) Java, discovering Python will be a wonderful experience.

In detail, we plan to cover the following points:

  • Quick history of Python and typical use cases
  • Key advantages and disadvantages of Python for data science
  • Ways to run python and write code
  • Quick tour of language
  • Showcase of useful language packages for data science: NumPy, Matplotlib, SciPy, Pandas, Scikit-learn, PySpark, PyHive.¬† Accessing RDBMSs
  • Writing efficient Python: Cython, Numba, SWIG
  • Pointers for further learning


FullSizeRender (1)The course will be taught by Patrick Varilly of Data Minded.  Patrick fell in love with Python four years ago as a theoretical chemistry post-doc at Cambridge and has never looked back.  He has contributed to SciPy and used Python in wide-ranging settings, from scientific libraries to model proof-of-concepts to data backend pipelines.

Pizza will be provided courtesy of Data Minded.

Patrick is a co-worker at the European Data Innovation Hub. He has coached the Apache Spark MOOCs this summer and will be teaching a full series of Python course this fall.

More #datascience trainings in Brussels:

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.

Have you been to our Meetups yet ?

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

Brussels Data Science Meetup

Brussels, BE
1,336 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‚Äôs grand cha…

Next Meetup

Event – SAPForum – Sept9 @Tour & Taxis, Brussels

Wednesday, Sep 9, 2015, 12:00 AM
5 Attending

Check out this Meetup Group →