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Daesys: Data Scientist / Developper

Daesys

This is a Full-time position in Montreal, QC posted March 26, 2021.

Position: Data Scientist/Developer Full time Remote work from Canada possible Competitive Salary Target start date: April 2021 Our company and the person we are looking for:Daesys is a start-up focused on helping organizations leverage Machine Learning and Artificial Intelligence to achieve their goals.

More precisely, our goal is to help seamlessly operationalize, automate, and scale the use ML/AI.

We are looking for a data scientist/developer to join our team to help on the development of our MLOps platform.

We are currently a small but very experienced team composed of two data scientists and a full stack developer.

The person we are looking for will play a major role in the team and in our ML/AI software development plans.

We are thus looking for a true team player who will in a positive and constructive manner and is willing to take on the significant responsibilities to contribute to the company’s objectives.

The qualities we look for:
·Ownership
·Self-driven
·Innovative
·Entrepreneurial
·Team Oriented
·Humility
·High work ethics
·Quick learner
·Open-mindedness
·Strong communication skills What the person will mainly do:
·Develop and implement the ML and analytics related functionalities of our MLOps platform
·Provide support with researching various aspects of ML/AI model validation and explanation methods
·Develop various ML/AI models to be used in testing the platform
·Help estimate and plan the development efforts
·Work with experienced developers and data scientists in designing and implementing the ML and analytics related features of our application Excellent technical skills: Programming and software development:
·Python programming (working with data science related packages: scikit-learn, NumPy, pandas, etc.
·R programming
·SAS programming an asset
·SQL programming
·Unix/Linux shell commands and scripting
·MySQL and RDBMS in general
·GitHub Data science:
·Data manipulation, preparation, and transformation
·ML/AI modeling techniques and principles
·ML/AI model development lifecycle
·ML/AI modeling pitfalls
·ML/AI model validation metrics
·Graphical methods of models’ performance evaluation
·ML/AI model explanation and interpretability Work experience:
·3 to 5 years of work experience in relevant positions
·Experience working in a software development team
·Experience working in a project type of environment
·Experience in an Agile team working with tools like Jira
·Experience with software testing methodologies Academic Credentials:
·Master’s or PhD degree in computer science with AI/data science profile is preferred
·Knowledge of principal concepts and inferential techniques in statistics
·Up-to-date expertise in ML/AI algorithms and methodologies