Req Id : 327453
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.
About the Team :
Bell’s Business Intelligence Data Science team is responsible for the Machine learning / AI strategy into Call Center Operations.
This is a terrific opportunity for 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.
Job Duties / Accountabilities :
Lead NLP projects
Provide direction to other data scientists from NLP perspective
Build and implement strategies for ML driven projects
Lead the development of machine learning products / models from inception to production
Identify areas for AI / ML opportunities in call center operations
Demonstrate to internal clients how machine learning can improve their business
Work with and present to all management levels
Design and introduce new processes, products and / or ML techniques into production, leveraging machine learning outputs
Maintain and expand your knowledge of ML / AI and current technology through training opportunities, conferences, continued learning, MOOCs etc.
Critical Skills / Competencies :
Practical experience in NLP
Experience in developing some of the following NLP models : Text summarization, text generation, sentiment and topic analysis, named-entity recognition etc
Ability to lead NLP projects
Degree in a discipline such as : Data Science, applied math, applied science / engineering, economics / econometrics, management science / operations research, or related area
Great English communications skills
ML / NLP technical expertise (frameworks and libraries) :
Advanced Python development skills
Practical experience with NLP frameworks / libraries e.g. Gensim, SpaCy
Experience with general ML / Data Science tools in Python : numpy, pandas, sklearn, jupyter etc
Hands-on experience and expertise with different AI / ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
Theoretical knowledge :
Advanced knowledge of ML models : deep learning, reinforcement learning, and others
Theoretical understanding of neural networks, backpropagation, and optimization algorithms with emphasis on mathematical understanding.
Mathematical understanding of some ML algorithms : regression, SVM, decision trees etc
Experience with word embeddings and or embedding quality evaluation
Preferred Competencies :
Ontology graphs, information retrieval, Elastic search
Computer science fundamentals
Database : SQL, Hadoop
Hands-on experience defining and operationalizing ML models into operational systems
Bilingualism is an asset (English and French); adequate knowledge of French is a must for this position.
Additional Information :
Position Type : Management
Job Status : Regular - Full Time
Job Location : Canada : Quebec : Montreal
Application Deadline : 10 / 25 / 2021