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Senior Data Scientist (Python, AWS, NLP)

Job Description

What you'll do:

  • Programming primarily in Python using Jupyter notebooks and Python data science libraries (Pandas, SciPy, NumPy, NLTK, Gensim, BERT, etc.);
  • Developing text classification models using supervised and unsupervised machine learning;
  • Developing topic models using LDA/LSI/NMF and similar approaches;
  • Developing Named Entity Recognition models;
  • Developing extractive and abstractive text summarisation models;
  • Participate in planning feasibility assessment, proof of concepting and reporting phases;
  • Iterative development, validation and testing phases;
  • Brainstorming and discussions with lead data scientists, data engineers and product managers.

Minimal Requirements:

  • Successful completion of studies in Computer Science, Engineering or a related subject;
  • 2 Years or more of programming experience;
  • Proficiency in Python
  • Experience using data science libraries such as Pandas, SciPy, NumPy, SciKit Learn, and similar;
  • AWS experience ideal but not essential
  • Experience in development, validation and testing of Python functions using pytest or similar library
  • Experience with text classification, topic modelling, text summarisation or other text related model design, development, validation and optimisation;
  • Ability to solve real-world problems with independent research while being able to work in a team.
  • Advanced knowledge in supervised and unsupervised machine learning in NLP;
  • Experiences in independent design and development of NLP methodologies;

About Me:

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