Data Scientist for Recommendation System
Samsung R&D Institute Poland
Athens, Greece
πριν από 4 μέρες
source : Just Join IT

AWS (nice to have)

Hadoop (nice to have)

PySpark (nice to have)

PyTorch (regular)

scikit-learn (regular)

About our Team

As one of the largest AI teams in Europe, we work with Big Data, recommendation systems, audio intelligence, computer vision, NLP, and more.

We base our work on the latest methods of machine learning (including deep neural networks), extensive data resources and appropriate computing resources.

We implement ready-made solutions into the products used by hundreds of millions of people all over the world. The results of our work get published, tested in international scientific contests, and deployed in products used by hundreds of millions of people worldwide.

Role and Responsibilities

  • Creating and applying statistical models and machine learning models for user profiling or recommendation systems, particularly developing solutions based on Deep Neural Networks or Reinforcement Learning
  • Processing, analysis and exploration of various data types
  • Continuous knowledge development, tracking and implementation of the latest trends (state of the art)
  • Creating innovative technology supported by prototypes and proof of concepts, scientific publications and patent applications
  • Python,
  • Big Data & Cloud Technologies : PySpark, Hadoop, AWS
  • ML / DL frameworks : PyTorch, Pandas, SciPy ecosystem, Keras, Tensorflow
  • Skills and Qualifications

  • Master's degree : Mathematics, Physics, Statistics, Computer Science or related fields (final-year students are also welcome)
  • Practical knowledge of statistical methods and Machine Learning models including Deep Learning
  • Willingness to learn new methods, for example Reinforcement Learning
  • Thorough understanding of algorithms and data structures related to Machine Learning / Deep Learning
  • Very good programming skills for Machine Learning / Deep Learning development with Python, including experience in Numpy, Pandas, Scikit-learn, PyTorch (preferred) or TensorFlow
  • Good command of English in speech and writing allowing free communication
  • Nice to have

  • PhD degree in the field of Machine Learning, Computer Science, Mathematics, Physics or related fields
  • Scientific publications, active participation in conferences in the field of Artificial Intelligence
  • Experience in Recommendation Systems and / or user profiling
  • Experience in Reinforcement Learning
  • Experience with algorithms optimization (memory, processing speed, scalability, GPU)
  • Experience with Big Data technologies such as : pySpark, Hadoop, AWS (EMR, Athena)
  • Team :

    o Friendly working atmosphere

    o Wide range of trainings and a huge support in developing algorithmic skills

    o Opportunity to work in multiple projects

    o Working with the latest technologies on the market

    o Monthly integration budget

    o Possibility to attend local and foreign conferences

    o Flexible working hours

    Equipment :

    o PC workstation / Laptop + 2 external monitors

    Benefits :

    o Private medical care (possibility to add family members for free)

    o Lunch card

    o Variety of discounts (Samsung products, theaters, restaurants)

    o Unlimited free access to Copernicus Science Center for you and your friends

    o Possibility to test new Samsung products

    Location :

    o Office in Warsaw Spire near Metro station

    Attractive relocation package

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