Senior Data Scientist

  • Data Science
  • Antwerpen, Belgium

Senior Data Scientist

Job description

As a Senior Data Scientist, you have extensive experience with generative and discriminative classification and regression, linear and non-linear dimensionality reduction, predictive analytics and time series modeling. You will be part of our Data Science Team and you are passionate about machine learning and data analysis.


Job description

  • You will design and implement state-of-the-art methods for both supervised and unsupervised learning.
  • You will work with big data (GPS fixes and sensors) from hundreds of thousands of users.
  • You will train algorithms to predict low events concepts (type of transports, home/work location) and human behavior (commuting, sporting, shopping).
  • You will help the team to improve upon current methods and models. With a practical mindset you will bring these models into a production environment.¬†
  • Your software development experience will allow you to closely collaborate with our Data Engineering team to improve our models and push them through our release process.

Requirements

Desired skills and expertise

  • You have a masters degree or PhD in computer science or a related field.
  • You are an expert in machine learning and data modeling.
  • You have proven experience with generative (e.g. Gaussian Mixture Models) and discriminative (e.g. Random Forest) classification techniques.
  • You possess a deep understanding of clustering, manifold learning and predictive modeling techniques.
  • You have a strong mathematical background and analytical mindset.
  • You are fluent in English.
  • You can work independently and take matters into your own hands.
  • You have software development experience in Python.
  • The ability to quickly learn new technologies and successfully implement them is a true strength of yours.


We have 2 open Sr. Data Scientist positions, each with its specific focus:

Sr. Data Scientist Mobility Sensing - Experience with any of the following is desired:

  • Signal Processing: pre-processing, Band-pass filtering, downsampling with anti-aliasing, Fourier/Cepstrum analysis
  • Temporal Modeling: HMMs, Dynamic Bayesian Networks, Kalman and Particle Filtering

Sr. Data Scientist Lifestyles Interpretation - Experience with any of the following is considered a plus:

  • Geo-spatial and Spatio-temporal learning
  • Representation Learning
  • Natural Language Processing; Word2Vec, Doc2Vec, POS Tagging
  • Graph and/or Sequence Modeling and Mining; Node2Vec, Random Walks


Bonus

  • Deep Learning; LSTMs, Convolutional neural networks, etc.
  • Sensor data modeling from mobile devices or wearables
  • Data engineering expertise
  • Experience with Java