Data Scientist

Bell Canada; Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

A leading telecommunications company is seeking a Data Scientist in Toronto. The role involves designing and building ML models to enhance customer experience and drive business value. Candidates should have 3+ years of experience and a Bachelor's degree in a relevant field. The compensation is competitive with salaries ranging from $26.00 to $78.00 per hour.

Qualifications

• 3+ years of experience as a data scientist or machine learning engineer.
• Intermediate knowledge of various machine learning models and practical understanding.
• Hands-on experience with major AI/ML frameworks and tools.

Responsibilities

• Design, build, and productionize ML models for new use cases.
• Explore new data sources to uncover business opportunities.
• Work and present to stakeholders to ensure product suitability.

Skills

Machine Learning

Statistical Analysis

Python Programming

Data Analysis

Effective Communication

Education

Bachelor's degree in Statistics, Machine Learning, or Computer Science

Master's degree (asset)

Tools

Keras

PyTorch

TensorFlow

Spark ML

scikit-learn

Job description

Overview

Posted on September 06, 2025 by Employer details Bell Canada. Bell's Data Engineering and Artificial Intelligence unit is composed of specialized teams that are responsible for data management, machine learning models, and machine learning architecture that support Bell's diverse and complex business needs. We are seeking a highly skilled Data Scientist to join a dynamic and collaborative team. The ideal candidate will be responsible for a key ML product and making a large and quantifiable impact on improving our customers' experience and driving value for the business. You will work with highly collaborative teammates, grow your ML and analytic capabilities, and build relationships with stakeholders across multiple levels of management. Join us. You belong at Bell.

Responsibilities

• Design, build, and productionize ML models for new use cases, and retrain models used in active use cases.
• Explore new data sources to uncover new business opportunities and identify opportunities to improve our existing modelling approach.
• 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.
• Actively seek and implement new ideas and innovative solutions, proactively exploring new areas and opportunities for growth.
• Demonstrate a deep understanding of customer needs, anticipating and exceeding expectations to drive customer satisfaction.
• Apply systematic problem-solving methodologies to complex challenges and deliver effective solutions.
• Proactively investigates mistakes, fosters a culture of learning from experience, and expands skills and responsibilities.

Qualifications

• Bachelor's degree in Statistics, Machine Learning, Computer Science, or a related discipline. Master's degree is an asset.
• 3+ years of work experience as a data scientist, machine learning engineer, or in a related capacity.
• Algorithms: intermediate knowledge of machine learning models, including deep learning, reinforcement learning, NLP, and other approaches; practical understanding of model selection, training, validation, and evaluation.
• Hands on experience with major AI/ML frameworks and tools, e.g., Keras, PyTorch, TensorFlow, Spark ML, and scikit-learn.
• Familiarity with generative AI techniques and architecture and their practical applications.
• Ongoing awareness of emerging techniques, research trends, and best practices in the AI/ML space.
• Coding: intermediate Python development skills; good code design (OOP, Algorithms, and Data Structures).
• Data and analysis: intermediate SQL; understanding of A/B testing, bias, and study design; ability to analyze data to determine trends, quantify impact, and derive insights.
• Collaborates and communicates effectively. Adequate knowledge of French is required for positions in Quebec.

Position & Location

Position Type: Management | Job Status: Regular - Full Time

Job Location: Canada : Ontario : Toronto || Canada : Ontario : Mississauga

Work Arrangement: Hybrid

Compensation & Benefits

• Salary $26.00 to $78.00 per hour
• Terms of employment: Permanent employment, Full time
• Starts as soon as possible

Location details: Toronto, ON; On site

Additional Information

View the full job posting on CareerBeacon

Advertised until

2025-10-06

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