Summary
Key Responsibilities
- Design, build, and productionize new ML-based functionalities to drive additional business value of an established ML product
- Provide technical guidance on the evolution of our ML product, and explore emerging and alternative ML strategies to choose the best approach for our business context
- Work with stakeholders across Bell to ensure our ML product meets their evolving business needs
- Work with and present to all management levels
- Maintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, etc.
- Proactive Opportunity Seeker: Identifies and capitalizes on emerging opportunities, demonstrating a clear understanding of their strategic benefit to the organization.
- Strategic and Analytical Thinker: Approaches complex challenges with a multifaceted perspective, conducting thorough analysis to develop well-informed solutions.
- Exceptional Communicator: Consistently delivers clear, concise, and professional communication, ensuring effective information dissemination.
- Results-Oriented Innovator: Employs a test-and-learn approach to problem-solving, leveraging data-driven insights to optimize outcomes.
- Collaborative Team Builder: Actively engages and empowers others to achieve both individual and team objectives.
- Committed to Continuous Improvement: Demonstrates a proactive commitment to ongoing professional development and enhancing leadership capabilities.
Critical Qualifications
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Bachelor's degree in Statistics, Machine Learning, Computer Science, or a related discipline. Master's degree or PhD is an asset
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5+ years of work experience as a data scientist, machine learning engineer, or in a related capacity
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Algorithms
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Advanced knowledge of ML models, including for deep learning and recommender systems
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Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
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Awareness of new technology and techniques in the ML/AI space
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Coding and technical design
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Advanced Python development skills and consistently implements coding best practices
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Adeptly scopes, designs, and leads on the implementation of new functionalities for ML-based apps
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Capable of mentoring and giving constructive feedback to fellow data scientists
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Data and analysis
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Advanced SQL ability. Strong ability to analyze data to determine trends, quantify impact, and derive insights
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In-depth understanding of A/B testing, bias, and study design
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Collaborates and communicates effectively
Additional Information Position Type: Job Status: Job Location:
Work Arrangement:
Application Deadline:
Please apply directly online to be considered for this role. Applications through email will not be accepted.
Bell, one of Canada's Top 100 Employers. 423470
