Data Scientist/ Predictive Modeller (H-0905)

Location: Toronto, ON M, Canada
Date Posted: 09-05-2018
As a Data Scientist the candidate will be responsible for providing end to end analytics solutions and provide actionable insights to assist in refining customer journeys and implementing an OMNI Channel Always-On Marketing experience for our customers.
  • Contribute to the development of the Channel strategy by developing near real-time predictive models and trigger-based strategies leveraging SAS, SPARK, Python, R, etc
  • Own the end-to-end analysis including pre-analysis, trigger detection, predictive modeling and post campaign analysis
  • Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces
  • Develop analytical blueprint to solve compartmentalized business issues and assembly to the big picture solution
  • Present customer insights to cross functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital
  • Maintain a solid and updated knowledge in the predictive modeling, data mining field including applications of Big Data, Text Analytics, Social Network Analytics, Cross Channel Modelling
  • Contribute to the ongoing development of the team by sharing information, success, lessons learned of own project; mentors junior team members from a technical as well as business acumen perspective
Qualifications Required:
  • Technical Expertise:
    • Advanced knowledge in various advanced predictive modeling/data mining techniques to ensure effective solutions to marketing issues
    • Extensive hands-on experience in SAS (Enterprise Guide/Miner), Hive, SPARK, R, Python, SQL and other data query language on UNIX/PC and comfortable working with very large data sets and databases
  • Business Orientation:
    • Advanced business acumen, relationship management and influencing without authority skills; ability to provide actionable recommendations based on data analysis
    • Strong ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables
    • Advanced written, oral, communications, presentation skills and knowledge of Microsoft (MS) Office Suite
  • Education:
    • Doctor of Philosophy (Ph.D.) in Statistics, Economics, Mathematics, Computer Science or another quantitative field is preferred
    • Master degree with extensive relevant experience and knowledge will be strongly considered
  • Experience:
    • 8+ years of related predictive modeling experience, preferably in marketing
  Preferred Skills:
  • Hands on experience in building machine learning models in SPARK a great asset
  • Telecommunications/industry experience would be beneficial
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