Data Scientist

3 weeks ago

Montreal, Canada Epsilon Solutions Ltd. Full time

Role: Data Scientist

Location: Montreal, QC (Office attendance from Day 1 - Hybrid Mode 3x per week ).

Term: Long Term Contract


Key Responsibilities:

  • work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications, legal documents, regulatory requirements etc.
  • analysis and software development
  • and implement business solution in agile squads
  • in Machine Learning project, which includes problem definition, Data Engineering, Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
  • maintain and track detailed delivery plans


Skills Required:

  • in mathematics, Statistics, Economics, Data Science, Machine Learning, Operational Research, Physics, and other related quantitative fields.
  • least 4 years of experience with design and implementation of machine learning, predictive analysis, data science, knowledge bases, recommendation systems, information retrieval.
  • understanding of the foundational concepts and applied experience in Machine Learning and model explainability (ideally, a combination of excellent academic research and high-impact commercial projects).
  • depth understanding of common Machine Learning algorithms (e.g., for classification, regression, and clustering).
  • with LLM models and Open AI.
  • depth knowledge of advanced statistical theories, methodologies, and inference tools.
  • track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference.
  • experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.
  • oral and written communication skills.
  • analytical and problem-solving skills.


Skills Desired

  • using vendor products such as: Microsoft AI Builder (Power Platform) and CO Pilot.
  • with Azure and AWS framework
  • with non-English Natural Language Processing.
  • Libraries H2O, Keras, Tensorflow
  • with Deep Learning
  • Financial Services experience is a plus.

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