Senior Machine Learning Data Scientist - Telecommute

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. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Be at the forefront of shaping the best digital connections and next-generation technology in Canada. Bring your ideas and skills as we grow cutting-edge fibre and 5G networks, develop advanced products and services to run on these networks and then enable the delivery of content from our top media properties and services – ensuring that our customers can stay entertained and connected anytime, anywhere. Predictive Modeling & Machine Learning: Building and deploying sophisticated models to forecast network demand, predict failures, and optimize performance. Data Storytelling & Visualization: Solving Business Problems with Data: Starting with a business challenge and leveraging data-driven approaches to formulate, test, and deploy a solution. Utilizing cutting-edge GCP services like Vertex AI, BigQuery ML, and Looker to build and scale powerful analytical solutions. Develop and Deploy ML Models: Design, build, and operationalize machine learning models that directly impact the reliability and efficiency of Bell’s network. Translate Data into Business Strategy: Work with stakeholders to understand their challenges and provide actionable insights that shape network strategy and investment. Mentor and Lead: Guide junior data scientists, establish best practices for modeling and analysis, and foster a culture of data-driven curiosity. Uncover Insights from Complex Datasets: Dive deep into high-dimensional network telemetry to solve ambiguous problems and discover new opportunities for optimization. Drive Real Impact : See your work directly improve the experience of millions of Canadians by making the country’s largest telecommunications network smarter and more reliable. A seasoned practitioner with 5+ years of dedicated Data Science experience, backed by a degree in Statistics, Mathematics, Computer Science, or a related quantitative field. holding a GCP Professional Machine Learning Engineer certification is a massive bonus! The Tech Stack: Strong proficiency in Python , SQL, and hands-on experience with machine learning libraries. The Agile Mindset : Someone who thrives in a fast-paced, collaborative agile environment and values delivering high-quality business outcomes as a team. The Communication: Maintaining professional relationships with French & English speaking stakeholders across Canada is critical to this position. Adequate knowledge of French is required for positions in Quebec. For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well‑being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong. Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. For a confidential inquiry, email your recruiter or View email address on clickmatrix.dev you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us. Artificial intelligence may be used to assess parts of your application. Please review our privacy policy ( see Phenom for details ) to learn more about how we collect, use, and disclose your personal information. #