At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

If you’re ready to bring game-changing ideas to life and join a community that values, 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.

Bell’s Business Intelligence team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing & contact strategy opportunities and provide insight to drive optimal business decisions.We are looking for a Developer, Data Science who is highly logical, passionate, and can communicate effectively to all levels within the organization This is a terrific opportunity for seasoned professional to help transform the organization in driving out one of the most significant strategic mandates within Bell. As part of this team, you will have opportunities to use your data science skills and leadership skills to shape the next generation of AI/ML to truly transform how Bell operates. 

 Key responsibilities may include:

• Lead the development of machine learning products and models from inception to production
• Collaborate with cross functional, agile teams of data engineers, ML experts, and project managers in solving business problems
• Apply your experience to drive best practices in ML, data engineering, and production architecture
• Build, automate, and maintain machine learning pipelines for training machine learning models on distributed systems
• Use a production-first mindset to consult on project feasibility through prototyping with respect to performance, time, quality and cost
• Maintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, etc.

 Critical Qualifications/Competencies:

• Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area 
• Algorithms:
  • Advanced knowledge of ML models: deep learning, reinforcement learning, NLP, and others
  • Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
  • Experience with development and deployment of recommender systems
  • Stay abreast of new technology and techniques in the ML/AI space
• Coding:
  • Advanced Python development skills
  • Excellent code design (OOP, Algorithms, and Data Structures)
  • Experience with CI/CD pipelines
• Data:
  • Experience with SQL and database systems such as Oracle, SQL Server, Teradata
  • Experience with distributed data and computational resources such as Hadoop, HDFS in general, Docker, Dask
  • Hands-on experience defining and operationalizing ML models into operational systems
• Skilled communicator with a proven record of leading projects across disciplines
• Quick learner with ability to think out of the box