Data Scientist - REMOTE

Data Scientist: REMOTE

Our client located remotely in London is looking to a Data Scientist.  This is a start up company who are fully funded and have a full client roster.  They have built a platform-as-a-service which does text classification and mass data processing.  They are looking for a Data Scientist.

You will contribute deep knowledge and expertise related to natural language processing (NLP), building computation models, analyzing large data structures and unstructured data/text.  This role will be integral to the development of their NLP processing models and machine learning capabilities as well as the overall R&D of their products as you turn mass amounts of data into tangible business value while solving real world problems for the industries they serve.

Position:

  • Design and develop NLP applications
  • Use effective text representation techniques and classification algorithms
  • Train and evaluate models
  • Extend ML libraries and frameworks to apply in NLP tasks
  • Inspect, clean, transform and model online data to discover useful trends, categories, etc.
  • Develop internal systems and processes
  • Work with Product Management and other key business stakeholders to execute against the product roadmap
  • Other duties as required

Requirements:

  • Degree / Diploma in Computer Science, statistics, Mathematics, or a related field with demonstrated excellent in your field of study
  • 3-5 years of relevant work experience
  • Proven experience with Spacy, GERT, Genism, Scikit Learn, TensorFlow, Python, NTLK or similar. Experience with BERT is specially an asset.
  • Experience applying statistical analysis techniques to real world data, ideally with a specialization in machine learning algorithms
  • A quick, independent learner of new technologies, programming languages, principles, and platforms
  • Good oral and written communication skills, with the ability to break complex ideas down into simple terms

Please send resume and cover letter to maureen@2a3group.ca or call 519-858-8880.