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Data Scientist

Toronto, Canada

Description:

Who we are:

Founded in Toronto in 1988, CaseWare International Inc. is a global software provider for accounting firms, corporations, and governments. With efficiency, quality and value in mind, we build solutions that push the technological boundaries in the industry. Our approach combines the power of automation with secure collaboration tools to help customers reach new levels of productivity and make better business decisions. With 30 years of proven success, our solutions are used daily by hundreds of thousands of users in 130 countries and in 16 spoken languages.

We have embarked on an ambitious new path of delivering an innovative, cloud - based unique global reporting and auditing solution. We are looking for a passionate Data Scientist to join our fast-growing team.

What’s in it for you?

Professional:

As one of the Data Scientist, you will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for you to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients.

Personal:

  • Competitive compensation and Bonus/profit sharing plan
  • Comprehensive benefits package
  • State-of-the-art infrastructure
  • Flexible work schedules & collaborative work-space
  • Career development
  • Various social events and team activities

What it takes?

Your passion, great attitude, excellent communication skills, willingness to explore and awesome teamwork is all what will help you hit the ground running.

We need you to:

  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to- date with latest technology and academic research trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design