• Date limite d'affichage : dimanche 3 février 2019
Description du rôle et des responsabilités

You will collaborate with our world-renowned Scientific Advisors, CTO and development team to design and implement enterprise-grade AI/data science, operations research and optimization solutions to solve real-world business problems.

Main responsibilities:

Work closely with the client and the product management team to clearly define the problem and desired objectives
Design the AI/data science model architecture, drawing from a host of modelling techniques and methods to ensure the right fit to the specific problem
Implement and unit test concept versions of the AI/data science models as per design specification
Advise the development team on implementing production-grade version of the AI/data science models
Support the development of KPIs (key performance indicators) to determine model performance post deployment

Profil recherché (exigences et formation)

At least 3 years of work experience designing and implementing AI/data science algorithms/systems in a variety of business situations uncovering critical insights and driving to concrete business outcomes for a technology/strategy/management consulting firm.
-At least 3 years of experience interacting with clients at the mid-manager level or higher.
-Experience working in an Agile development environment
-Experience implementing AI/data science algorithms using one or more of the modern programming languages/frameworks (e.g., Python, Pandas, Scikit-learn, Tensorflow, Scala, Keras, Gulon, Caffe, MxNet, optimizers such as CPLEX or Gurobi, etc.).
-Experience developing solutions for supply chain or other operational function preferred
-Understanding of development and service delivery/management frameworks (e.g., DevOps, Agile, SRE, ITIL, etc.)
-Experience developing digital solution concepts and solutions using design thinking/ideation techniques

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  • Publié: il y a 1 semaine
  • Cette offre expire le dimanche 3 février 2019
  • Secteur d'activité: Intelligence artificielle
  • Titre: Data Scientist



  • Adresse postale: 6650 rue Saint-Urbain suite 350, Montréal QC, H2S3G9