LiveHire users cookies on this website. Cookies are small pieces of data stored by your browser on your computer or device to help run this site, improve security, and improve your experience.

Click Accept to continue, or for more information please see our Cookies Policy.

‹ Back to all jobs

Data Scientist

  • LocationSaint-Laurent, QC H4T 1G6 - Canada
  • Work TypeContract/Temp
  • Positions Positions
  • Published At:a month ago


  • Job no: 56097HCR0001630
  • Categories: Engineering, healtcare

Renewable 3-6 months contract.

Data Scientist

Your Mission

As a member of the Data Science team, your mission is to design, develop, and implement end-to-end cloud-based analytics production pipelines that are scalable, repeatable and secure.

Your Role & Main Responsibilities

Be a key contributor to the AI Strategy

·      Design innovative Artificial Intelligence solutions to support aviation and health training operations.

·      Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. ​

·      Assess the effectiveness and accuracy of new data sources and data gathering techniques. ​

·      Develop custom AI solutions and algorithms to apply to data sets. ​

·      Experiment advanced modeling methodologies that aim increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. ​

·      Develop company A/B testing framework for AI experimentation and results analysis. ​

·      Coordinate with different functional teams to implement models and monitor outcomes. ​

·      Develop processes and tools to monitor and analyze model performance and data accuracy.

Be an active member of the business transformation

·      Drive research on aviation & healthcare industry trends and the commercial applications of machine learning to be a differentiator in the market

·      Lead multiple service-oriented large-scale machine learning related projects: from functional to the implementation plan

·      Lead a team for rapid and iterative development of validated minimum viable solution

·      Develop and prototype new machine learning techniques, run experiments to improve comprehension and model efficiency rate

Be an inspirational and motivational colleague

Be an inspirational and motivational colleague

·      Share knowledge with team members & participate in various learning-sharing activities

·      Contribute to the collaborative and stimulating work environment

·      Be a change agent & Agile mindset promoter

·      Be connected to the industry to know tendencies and suggest innovative ideas

Your Qualifications


·      A drive to learn and master new technologies and techniques.

·      Experience leading customer driven initiatives.

·      Experience working in an Agile environment an asset.

·      Excellent written and verbal communication skills for coordinating across teams.


Technical skills

·      Have a Master or PhD in Statistics, Computer Science, Business Analytics or a related field

·      Possess at least 5 years experience in Data Science or applied statistics.

·      Strong problem solving skills with an emphasis on product development.

·      Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

·      Experience manipulating data sets and building statistical models.

·      Knowledge of a variety of machine learning techniques (Random Forests, Support Vector machine, Gradient boosting, artificial neural networks, Bayesian networks, etc.) and their real-world advantages/drawbacks.

·      Knowledge of advanced statistical techniques and concepts (GLM/Regression, Time Series, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

·      Experience working with and creating data architectures.

·      Experience using web services: Redshift, S3, Azure, Spark, DigitalOcean, etc.

·      Experience analyzing data from 3rd party providers: Microsoft Application insights, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

·      Experience visualizing/presenting data for stakeholders using: Periscope, Microsoft Power BI, Business Objects, D3, ggplot, etc.

  • Published on 09 Jul 2020, 8:25 PM