- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Seven or more years of experience in data scienceProficiency with data mining, mathematics, and statistical analysisAdvanced experience in pattern recognition and predictive modelingKnowledge of R, SQL and Python; familiarity with Java , C++ or C# is an assetExperience using business intelligence tools (e.g. Qlik Sense) and data frameworks (e.g. Hadoop)Ability to work effectively in a dynamic, research-oriented group that has several concurrent projectsAnalytical mind and business acumenStrong math skills (e.g. statistics, algebra)Problem-solving aptitude