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Senior Data Scientist - Open for English speaking candidates - Visa Support

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€ 500,00

Aanbevelen

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Aanbevelen
Plaats: 2000 Antwerpen
Startdatum: zo snel mogelijk

For our customer, we are looking for a Senior Data Scientist with an extensive experience in machine learning, software engineering, predictive analytics and time series modeling. As Senior Data Scientist, you will lead your own projects and coach colleagues.

Tasks and responsibilities:

  • Design and implement state-of-the-art methods for both supervised and unsupervised learning;
  • Work with big data (GPS fixes and sensors) from hundreds of thousands of users;
  • Train algorithms to predict low events concepts (type of transports, home/work location) and human behavior (commuting, sporting, shopping);
  • Help the team to improve upon current methods and models. With a practical mindset you will bring these models into a production environment;


Profile:

  • Masters degree or PhD in computer science or a related field;
  • Expert in machine learning and data modeling;
  • Experience in software engineering and deployment to production;
  • Proven experience with generative  and discriminating techniques;
  • Deep understanding of clustering, manifold learning and predictive modeling techniques;
  • Use big data tools such as Spark for development;
  • You can work independently and take matters into your own hands;

Nice to have:

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


Offered:

  • Challenging position at market leader, working on top products;
  • Attractive salary package;
  • Relocation and visa support;


Interested:
Please send your CV to vacature@talent40.com.


Tags: Signal Processing; pre-processing, Band-pass filtering, downsampling with anti-aliasing; Fourier/Cepstrum analysis; HMMs; Dynamic Bayesian Networks; Kalman; Particle Filtering; Geo-spatial; Spatio-temporal learning; Representation Learning; Natural Language Processing; Word2Vec; Doc2Vec; POS Tagging; Graph Modeling; Sequence Modeling; Mining; Node2Vec; Random Walks