Data Scientist II

Req Id: 431078
Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

Summary

We are seeking a highly skilled and experienced Data Scientist II to join our team. The ideal candidate will possess a strong understanding of data science principles, advanced technical skills, and the ability to independently lead complex projects. This role requires a proven track record of success in developing and implementing innovative data-driven solutions.

Key Responsibilities

• Collaborate with business stakeholders to define data science objectives and translate them into actionable strategies.
• Design, develop, and implement advanced predictive models and machine learning algorithms, including deep learning models, to solve complex business problems.
• Analyze large and diverse datasets (structured and unstructured) to uncover hidden trends, patterns, and insights.
• Implement robust data quality control measures and ensure data integrity throughout the entire data lifecycle.
• Develop and maintain efficient data collection and preprocessing pipelines, including automation of data ingestion processes.
• Create insightful data visualizations and presentations to effectively communicate findings and recommendations to both technical and non-technical audiences.
• Propose innovative and data-driven solutions to address challenging business issues.
• Refactor and optimize existing models, conduct rigorous testing, and monitor model performance.
• Identify and evaluate new data sources to enhance the value and scope of data-driven insights.
• Mentor and guide junior data scientists, fostering a collaborative and supportive team environment.
• Contribute to the continuous improvement of data science methodologies and best practices within the organization.

Critical Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Relevant experience may be considered in lieu of a degree.
• 3+ years of experience in a data science or analytics role.
• Cloud foundational certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect). Specify preferred certifications if applicable.
• Advanced proficiency in SQL and at least one scripting language (Python preferred).
• Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras – specify preferred frameworks).
• Demonstrated expertise in a wide range of machine learning algorithms and techniques.
• Ability to write clean, efficient, and reusable code.
• Strong understanding of various data types and formats, including experience with both structured and unstructured data.
• Experience with data visualization tools (e.g., Tableau, Power BI).

Preferred Qualifications

• Master's degree or PhD in a relevant field.
• Experience with specific industry-relevant datasets or technologies.
• Publication record in data science or related fields.
• Contributions to open-source projects or personal data science projects (portfolio encouraged).
• Experience working with enterprise platforms such as ServiceNow or similar IT service management (ITSM) tools.

Adequate knowledge of French is required for positions in Quebec.

Additional Information

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada: Quebec - Montreal; Canada: Ontario - Mississauga; Canada: Ontario - Ottawa; Canada: Ontario - Toronto
Work Arrangement: Hybrid
Application Deadline: 07/12/2026

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