Data Science Director

3 days ago


Mississauga, Ontario, Canada Bell Canada Full time
About the Role

We are seeking an experienced Data Science Director to lead our machine learning and operations teams at Bell Canada. As a key member of our Customer Operations team, you will be responsible for driving the creation of game-changing algorithms in areas such as natural language processing, process engineering, and workload management solutions.

Your primary focus will be on developing and managing a comprehensive measurement framework to track and capture reach, performance, and value impact of our algorithms. You will also demonstrate a successful track record as a leader, developer, and manager of people, attracting, retaining, and developing strong talent and building a positive organization and team culture.

The ideal candidate will have a degree in a discipline such as data science, applied math, or related area, with 5+ years of experience in a data science role. You should have development experience with at least one general programming language (e.g., Python) and previous experience with ML frameworks (e.g., Scikit-learn, Keras, TensorFlow).

Responsibilities
  • Lead the development of machine learning algorithms in areas such as natural language processing, process engineering, and workload management solutions
  • Develop and manage a comprehensive measurement framework to track and capture reach, performance, and value impact of our algorithms
  • Demonstrate a successful track record as a leader, developer, and manager of people, attracting, retaining, and developing strong talent and building a positive organization and team culture
  • Exhibit strong business acumen, with an appreciation for the opportunities and constraints that accompany an ever-evolving competitive environment
Requirements
  • Master's degree in a discipline such as data science, applied math, or related area
  • 5+ years of experience in a data science role
  • Development experience with at least one general programming language (e.g., Python)
  • Previous experience with ML frameworks (e.g., Scikit-learn, Keras, TensorFlow)
  • Excellent written and oral communication skills (English)
Preferred Qualifications
  • 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
  • Computer science fundamentals
  • Database: SQL, Hadoop

Estimated salary: $120,000 - $150,000 per year, depending on experience.



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