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CoFoMo Inc.
Data Science ExpertCoFoMo Inc. • Montreal (administrative region), QC, Canada
Data Science Expert

Data Science Expert

CoFoMo Inc. • Montreal (administrative region), QC, Canada
11 days ago
Job type
  • Full-time
Job description

Responsibilities

  • Design the analytical architecture of complex solutions in artificial intelligence and data science;
  • Lead the development, validation, industrialization and continuous improvement of high-value machine learning models;
  • Design and develop advanced time-series and forecasting models in large-scale, complex contexts;
  • Develop and implement Reinforcement Learning solutions adapted to optimization, control or decision-making issues;
  • Act as an expert advisor to clients in order to identify the best analytical approaches according to their business objectives;
  • Define technical orientations, quality standards and best practices in data science, quantitative modeling, MLOps and artificial intelligence;
  • Oversee the full model lifecycle: data mining, experimentation, training, validation, deployment, monitoring, and continuous improvement;
  • Collaborate with architects, data engineers, and subject matter experts to ensure robust integration of developed solutions;
  • Perform technical reviews, ensure the scientific quality of deliverables and support teams during mandates with the highest levels of complexity;
  • Mentor and mentor data scientists to foster their professional development and knowledge sharing;
  • Participate in innovation, applied research and technology watch activities in order to integrate relevant advances in artificial intelligence;
  • Contribute to business development activities, technical proposals and strategic recommendations for clients;
  • Popularize the results to technical and executive audiences.

Profile we are looking for

  • Hold an undergraduate degree in mathematics, statistics, actuarial science, operations research, computer science, software engineering, physics or a related quantitative field (mandatory);
  • Possess more than ten (10) years of experience in data science, machine learning, or artificial intelligence;
  • Demonstrate advanced expertise in time series modeling, forecasting, and temporal data analysis (required);
  • Have advanced expertise in statistical modeling, probability, quantitative methods, and mathematical optimization;
  • Have a strong background in developing machine learning models in a production environment;
  • Have experience with MLOps environments (CI/CD, MLflow, DVC, orchestration, model monitoring, and reproducibility);
  • Experience with cloud platforms (Azure, AWS or GCP) applied to artificial intelligence solutions;
  • Have experience with relational and non-relational databases;
  • Master the main algorithms of supervised, unsupervised and deep learning;
  • Demonstrate a good understanding of modern data architectures (Data Lake, Lakehouse, and data pipelines);
  • Be proficient in Python as well as the main machine learning frameworks;
  • Be able to design and develop robust, high-performance and scalable solutions.
  • Have a background in actuarial science (strong asset);
  • Have a master's degree in statistics, mathematics, actuarial science, artificial intelligence, machine learning, or another quantitative field (strong asset);
  • a PhD is also an asset;
  • Demonstrate advanced expertise in Reinforcement Learning applied to real-world problems an asset;
  • Have experience in the energy, trading, or quantitative finance sector an asset;
  • Knowledge of generative models (LLM, generative AI, and agentic systems) an asset;
  • Proficiency in mathematical optimization methods, operations research or decision models at an advanced level an asset;
  • Applying Agile methodologies in a professional context is an asset;
  • Using Dataiku in the context of developing or deploying analytics solutions is an asset.
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Data Science Expert • Montreal (administrative region), QC, Canada

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