Senior Data Scientist

  • 34571
  • Non-Life - Data Science
  • |
  • Manitoba, Canada
  • |
  • Jan 23, 2019
Insurance
RESPONSIBILITIES
  • Work with various stakeholder to translate business questions into formalized and repeatable analytical processes.
  • Work with various stakeholders throughout the organization to design, develop, and assess experiments aimed at uncovering meaningful and actionable insights.
  • Disseminate the findings from analysis and experiments for easier stakeholder consumption.
  • Assist in the development and refinement of measures and reports designed to improve decision making.
  • Document all aspects of the analytical process, including data requirements, data processing, analytical approaches utilized, any created code and, in general, the findings of the work conducted.
  • Contribute to educational initiatives aimed at the development of overall inter- and intra-departmental knowledge.
  • Participate in planning activities.
  • Contribute to data management improvements.
  • Improve upon and ensure adherence to established practices, processes and guidelines.
  • Keep up to date on current statistical and mathematical models and methodologies, including those relating to machine learning, deep learning, and artificial intelligence.
  • Mentor Other Data Scientists.
  • Perform other duties as assigned.
QUALIFICATIONS
  • Completion of post-secondary degree/certificate preferably in the area of computer science, mathematics, statistics, actuarial science/mathematics, engineering, physics, or other related field.
  • 4 years’ practical experience performing analysis or developing analytical processes using current programming languages and/or statistical software.
  • 2 years’ experience performing data exploration, data management, and other data related activities.
  • Experience with analytical tools used such as Python and R.
  • Detail oriented with analytical and problem-solving skills and an ability to recognize and identify issues and take proper action to resolve them.
  • Strong creativity skills, with the ability to develop solutions to a variety of problems.
  • Excellent communication skills, with the ability to communicate in a clear and concise manner with style fitting for the audience and message.
  • Strong planning and organizing skills, with the ability to develop and implement plans by prioritizing.
  • Effective leadership skills, with the ability to facilitate high team morale by encouraging and coaching team members.
  • Effective decision making skills, with the ability to direct team members to achieve goals through clear instruction.
  • Knowledge and experience in the insurance industry is considered an asset.