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Data Science Specialist (Toronto, ON, CA)

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Req Id: 65718 

 

Bell is a truly Canadian company with over 134 years of success. We are defined by the passion of our team members and their belief in our company’s vast potential.
 

To ensure we continue to be recognized as Canada’s leading communications company, we’re committed to finding and developing the next generation of leaders. This means creating best-in-class career and development opportunities for our employees.  

If you’re passionate, driven and find yourself seeking interesting work, new challenges and continuous learning opportunities, then we want you to join our team.
 

The Bell Residential Services team is in the business of enabling customers to connect with people, information and entertainment by delivering integrated products and service experience for consumers while enhancing our competitiveness in the marketplace.  The team provides customers with Bell Home phone, local and long distance services, Bell Internet, Bell Satellite TV and amazing new technologies such as Bell Fibe TV.

 

This position reports into the Marketing Campaign Analytics function within Bell Mobility.  The primary objective is to support increased sales via advanced analytics.  The successful candidate is proactive and self-motivated.  Think entrepreneurial statistician.

 

BCE and Bell Mobility offer an opportunity of a lifetime for those in the analytics industry:  the dynamic mobile industry, extensive retail distribution, partnership with the largest media company and a fully engaged leadership team.
 

Responsibilities:

  • Develop and enhance predictive models
  • Conduct advanced analytics using appropriate methods: Regression analysis, cluster analysis, decision trees etc
  • Analyze marketing campaigns to determine success and uncover opportunities for improvement
  • Strategic analysis that supports executive decision making
  • Work with Marketing Managers to ensure appropriate experimental design and effective campaign targeting
  • Manage the creation and deployment of related marketing campaign lists using both SQL and Marketing Automation tools (e.g. IBM Campaign)
  • Create business analyses using SAS to understand key trends and identify customer usage behaviours that will drive decision making

 

Critical Qualifications

  • Applicable bachelors degree (e.g. statistics, business, computer science etc.).
  • At least 1 year experience in performing statistical hypothesis tests and predictive modeling.
  • Expert knowledge/experience of SAS, including SAS Base/Graph/Macro/SQL/ODS/STAT.
  • Knowledge and experience with data modeling/ data mining technique, including regression methods, decision trees, neural network, etc.
  • Superior communication skills - both written and oral. 
  • Ability to leverage insights and opportunities from data and metrics to build strategies that lift the overall performance of the business.

 

Preferred Skills:

  • Advanced degree (e.g. MBA, graduate degree in BI, statistics, math etc.)
  • Experience in SAS Enterprise Miner
  • Experience in R programing
  • Experience with major campaign management solutions (e.g. Unica / IBM Campaign, Marketo)
  • Telco experience/experience with Mobile
  • Direct marketing experience
  • Experience with business to business sales and prospect data
  • Knowledge of data matching (e.g. SAS DataFlux)
  • Knowledge of data visualization,
  • Experience in customer behaviour analytics, experimental design and database management

 

TC:BI

BCE:WKP #Feature *LI-SG

 

 

Additional Information:

Position Type: Management
Job Location: Canada : Ontario : Mississauga
Application Deadline: 02/09/2015
 

Please apply directly online to be considered for this role. Applications through email will not be accepted.

 

Bell is committed to fostering an inclusive, equitable, and accessible environment where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of the communities in which we live and serve, and where every team member has the opportunity to reach their full potential.

 

Created: CanadaON, Toronto


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