Developer, Data Scientist, Segmentation and Media

Date: Jan 11, 2019

Location: Toronto, ON, CA

Company: Bell

Req Id: 221473 


At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team. 

Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.


Big Data is a big deal. If you’re passionate about applying Machine Learning to transform massive datasets into business value, this fast-growing and innovative field is where you want to be.

Bell’s Customer Operations Data Science team uses cutting-edge tools and technologies to provide actionable insights and to automate business decisions through data science.


Machine Learning and AI are central drivers of strategic and operational improvements across the enterprise. Some of the opportunities we tackle include customer experience analytics, marketing optimization, product analytics, retail analytics, call-center routing, next-best-action, ad technologies, and contact strategy.


This is a terrific opportunity to contribute to our collaborative data culture. You will work with new technologies, build data science skills, and uncover meaningful insights that will ultimately impact millions of customers.


What will you do?

  • Work with partners within Customer Operations and across Bell to make data-driven business decisions
  • Build and apply scalable machine-learning solutions to understand customer digital behavior and to optimize customer engagement strategy
  • Develop algorithms to gain actionable insights from both structured and unstructured datasets
  • Explore new data sources to uncover new business opportunities at all levels of the business (strategic to operational)
  • Translate business requirements into design, implementation, and documentation of efficient data processes


What are we looking for?

  • You have an undergraduate and/or graduate degree in Computer Science, Mathematics, Statistics, or a related quantitative field
  • You have 2+ years relevant work experience
  • You are highly driven to learn about the newest machine learning techniques
  • You are highly analytical and have the ability to apply data insights in solving business problems
  • You are a self-starter who is comfortable working with and presenting to all management levels
  • You have the ability to work with a team towards common goals
  • You are able to manage multiple projects and priorities
  • Experience in telecommunications is an asset


Technical Competencies

  • You have knowledge of ML algorithms including supervised and unsupervised learning, deep learning, and NLP
  • You are proficient in programming languages such as Python, Scala, C++, Java
  • You have experience with ML frameworks such as Spark ML, TensorFlow, Keras, Scikit-learn, etc.
  • You have exposure to big data tools and technologies such as Hadoop, Hive, Spark
  • You have experience extracting data insights from relational data warehouse using SQL
  • You are proficient in working with data visualization tools such as Tableau, matplotlib, D3.js



Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec. 


Additional Information:

Position Type: Management 
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Toronto 
Application Deadline: 01/28/2019 



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


At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential.


Created: CanadaON, Toronto

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