Data Scientist II

At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #Team Bell and we’re always on the lookout for people with great skills and experiences.

We provide a supportive and inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

Join us. You belong at Bell.

At Bell, data science experts like you are shaping the future. You'll create, apply and work with algorithms that learn and analyze data, just like the human brain. By leveraging AI and machine learning technologies, you'll help us deliver better experiences and service innovations to Canadians.

Plus, through our partnerships, you'll have the opportunity to learn and grow alongside other AI professionals to advance your career and make a lasting impact.

We are seeking a highly motivated and experienced Data Scientist to join our team. The ideal candidate will have a strong understanding of data science principles, advanced technical skills, and a passion for leveraging data to drive business decisions. The team primarily focuses on use cases for contact center optimization, developing data-driven solutions, and building applications for seamless business integration. This role offers the opportunity to work on innovative, high-impact data products within a collaborative team environment.

• Develop and fine-tune advanced predictive models, including deep learning models, to optimize key business and customer experience metrics.
• Build low-latency, robust cloud-based applications to support seamless solution integration with production systems.
• Analyze large structured and unstructured datasets to identify insights and propose strategies to address complex technical challenges.
• Effectively communicate data-driven insights and proposed solutions to technical and non-technical audiences.
• Proactively seek opportunities to develop and apply new skills towards the improvement of data science processes and technical methodologies.
• Provide technical mentorship and actively contribute to a collaborative team environment. Identifies critical needs and takes decisive action to address them effectively and efficiently.
• Actively seeks and implements new ideas and innovative solutions, proactively exploring new areas and opportunities for growth.
• Demonstrates a deep understanding of customer needs, anticipating and exceeding expectations to drive customer satisfaction.
• Masterfully applies systematic problem-solving methodologies to complex challenges, consistently delivering effective solutions.
• Proactively investigates mistakes, fosters a culture of learning from experience, and actively seeks opportunities to expand skills and responsibilities.

• Bachelor’s degree in a discipline such as Computer Science, Data Science, Engineering, Applied Math, or a related field.
• 3+ years of relevant work experience in a data science, machine learning, or analytics role.
• Experience in a cloud environment (GCP is preferred, but cloud skills are transferable).
• Advanced proficiency in SQL and Python.
• Ability to write clean, efficient, and reusable code.
• Expertise in a wide range of machine learning algorithms and techniques.
• Experience with popular machine learning and deep learning frameworks (e.g., scikit-learn, Keras, Tensor Flow, PyTorch).
• Strong foundational knowledge of statistical methods.
• Strong analytical, problem-solving, and communication skills.
• Proven ability to manage multiple projects simultaneously and meet deadline

• Master’s degree in a discipline such as Computer Science, Data Science, Engineering, Applied Math, or a related field.
• Certification in cloud-based data platforms and services (e.g., GCP).
• Familiarity with Generative AI and knowledge of…