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. We are looking for a Machine Learning Engineer, Marketing to join our team.

In this role, you will be responsible for leveraging sales, marketing, and behavioral data to analyze and optimize marketing activities. This position will support a portfolio of marketing projects including marketing mix modelling, causal impact analysis, predictive modeling for customer acquisition and retention, lifetime value analysis, and more. Develop and maintain mathematical models to guide strategic business planning and marketing Develop and maintain continuous training predictive models for customer acquisition/retention Conduct statistical experiments to support a knowledge hub for strategic marketing insights Collaborate with brand, marketing, and technical teams to translate business needs into solutions Participate in pilot programs to stay ahead of the curve in applied AI/ML advancements Support MLOps/DevOps for production model environments and process/test automation Clearly document your work and present concepts to both technical and non‑technical audiences Participate in knowledge‑transfer and cross‑training to facilitate business continuity and resilience Bachelor's degree in a quantitative field (eg.

Computer

Science, Math, Statistics, Engineering) ~3 + years of experience applying Data Science, Machine Learning, and advanced statistical modeling techniques to marketing analytics, customer acquisition, customer retention, customer segmentation, marketing measurement, or campaign optimization initiative ~ Solid experience in data science, machine learning, research,



and data pipeline development ~ Proficient in data management and analytical programming languages (Python, SQL, R) ~ Proficient using common data visualization packages and business intelligence tools ~ Experience developing and maintaining data warehousing and data lake products ~ Experience working with large marketing, media, behavioural, or cognitive data sets ~ Experience working in secure corporate cloud environments (eg. GCP, AWS, Azure) ~ Experience in applying both Bayesian and frequentist statistical concepts to large data sets ~ Experience with analytical Python libraries (eg. Knowledge of agile project management philosophies and workflows Adequate knowledge of French is required for positions in Quebec.

Job Status: Regular - Full Time 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 [email protected] 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.

Bell, one of Canada's Top 100 Employers. #

📌 Machine Learning Engineer, Marketing (Mississauga)
🏢 Bell
📍 Mississauga