Data Scientist - Montreal, Canada - Epsilon Solutions Ltd.

Description

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.