Data Science Specialist

  • 39093
  • Life - Data Science
  • |
  • Quebec, Canada
  • |
  • Feb 10, 2021
  • Proactively evaluate, capture, and translate complex business questions into a structured analytical plan, as well as work collaboratively with stakeholders to identify appropriate models and solutions
  • Support the project lifecycle, from identification through to development of key analytics and digital projects
  • Work on a diverse team of data and analytics professionals to create solutions and insights that enhance the employee experience and provide insights for people and leaders to make decisions
  • Work with large amounts of data on a granular level
  • Perform statistical modelling, time series analysis, data ETL
  • Create relational databases using tools like Power Query
  • Communicate insights for business problems
  • Create advanced data models using statistical and analytical techniques and toolsets (Python, R, Alteryx or similar tools)
  • Support the creation of data visualizations and analysis, combining multiple data sets, to deliver key insights through various reporting methods
  • Explore unknown data and brainstorming new ideas to uncover causality and hidden correlations while applying the right method and tools
  • 3+ years (senior) relevant work experience with applying analytics or working with data
  • Strong experience with statistical analytical techniques, data mining, machine learning, and predictive models using Python, R or similar tools
  • Database and programming languages experience and data manipulation and integration skills using Power Query, SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
  • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business perspective
  • Strong oral and written communication skills
  • MA/MSc degree in Applied Mathematics, Statistics, Computer Science, Engineering, or related field is an asset
  • Experience with natural language processing and optimization is an asset
  • Project management experience is an asset
  • Professional services, consulting, or advisory experience is an asset