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.

Seminar- March 5th – MathWorks -Data Analytics with MATLAB in a ‘Big Data’ World – Leuven

bg_header_mwlogo_notag

Stephan Van Beek

Stephan Van Beek invites us to a seminar organised in Leuven on March 5th

 

Location: Leuven
Venue: Park Inn Leuven
Date: 5 March 2015
Time: 13.30 – 17.00

Overview

As the amount of data held by all businesses grows, companies are increasingly turning to agile data analytics techniques to make better decisions, find new opportunities and reduce risks. Whether it’s experimental data, data from simulation packages, or even sales and marketing data, come to this free seminar to experience how to quickly and easily create advanced analytic tools for your own business.

Highlights include:

  • Data Analysis and Visualization with MATLAB
  • Building intelligent systems with Machine Learning techniques
  • Handling Data that cannot fit in one computer’s memory

Who Should Attend:

Data analysts, scientists, engineers, managers, quantitative analysts, analytical researchers, risk managers, financial engineers, actuaries and traders, anyone wanting to improve how data is used with their business and/or who might be interested in learning more about statistics, machine learning, data analytics and “big data”.

Agenda

Time Title
13:00 Registration & welcome coffee
13:30 Introduction
13:40 Analyzing Data in the MATLAB environment

  • Easily read data from multiple sources (spreadsheets, databases)
  • Data exploration and visualization
14:00 Data Analytics with MATLAB

  • Data Analytics Challenges and Solutions
  • Marketing Campaign with Supervised Learning
  • Clustering Corporate Bonds with Unsupervised Learning
15:00 Break
15:15 Tackling Big Data

  • Best practices using memory
  • Distributed Computing
  • Hadoop Integration using Map, Reduce, and Datastore
  • Deploy your analytics to a production environment
16:45 Wrap-Up
17:00 End

Register here