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Senior Manager, Data Science

Posted on 22/11/20 20:59 by Bell Canada
location Toronto, Ontario, Canada
time Full Time
applications 0 Applications

We are looking for a strong leader with hands on experience to lead a team of highly technical data scientists responsible for building machine learning solutions. As part of Bell’s Customer Experience Data Science organization, you will have the opportunity to apply the latest research techniques to build practical machine learning solutions that will impact our customers and revolutionize our processes.


Key Responsibilities:

  • Lead and manage team of highly technical Data Scientists to deliver machine learning and speech technology solutions to improve Customer Experience and optimize Customer Operations processes.
  • Drive our machine learning roadmap to evolve self serve capabilities and help create a  personalized experience for our customers                      
  • Customer Behaviour
  • Customer Segmentation and clustering
  • Natural Language Understanding
  • Develop and manage comprehensive measurement framework to track and capture reach, performance and value impact of our algorithms.
  • Work with key stakeholders to drive the integration of machine learning and speech capabilities with business initiatives and help them understand the benefits/opportunities
  • Partner with AI industry leaders to bring best practices and leading edge capabilities to Bell
  • Support and collaborate with our partners across the enterprise
  • Work closely with Customer Operations AI Labs teams to advance overall machine learning capabilities


Critical Competencies:

  • University Degree in Machine Learning/Computer Science/Mathematics or 6+ years of industry
  • Experience & ability to translate Business requirements & initiatives into technical operations
  • Experience working with artificial intelligence, predictive modelling or related field
  • Experience with Natural Language Processing and/or Machine Learning algorithms
  • Model development experience using SAS, Python, R
  • Experience leading mid to large sized Data Science teams (including performance measurement and career development)
  • Ability to motivate team to deliver high-quality solutions on time and on budget
  • Strong interpersonal skills, including the ability to collaborate across the team and work closely with clients
  • Experience in technology companies and/or telecom networks is a strong asset
  • Collaborative spirit to share learnings and knowledge with peers


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