About this role
Req Id: 431373Connection 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. We believe in empowering people. That's why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you're inspired by innovation that advances how people connect and transforms what's possible, you belong on #TeamBell.SummaryWe are looking for a Data Scientist, Marketing Analytics 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.Key ResponsibilitiesDevelop and maintain mathematical models to guide strategic business planning and marketingDevelop and maintain continuous training predictive models for customer acquisition/retentionConduct statistical experiments to support a knowledge hub for strategic marketing insightsAnalyze, interpret, and present findings and recommendations to cross-functional business teamsCollaborate with brand, marketing, and technical teams to translate business needs into solutionsParticipate in pilot programs to stay ahead of the curve in applied AI/ML advancementsSupport MLOps/DevOps for production model environments and process/test automationClearly document your work and present concepts to both technical and non-technical audiencesParticipate in knowledge-transfer and cross-training to facilitate business continuity and resilienceCritical QualificationsBachelor'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 initiativeStrong experience in data science, machine learning, research, and data pipeline developmentProficient in data management and analytical programming languages (Python, SQL, R)Proficient using common data visualization packages and business intelligence toolsProficient using LLMs to judiciously expedite and automate tasks in a production environmentExperience developing and maintaining data warehousing and data lake productsExperience working with large marketing, media, behavioural, or cognitive data setsExperience working in secure corporate cloud environments (eg. GCP, AWS, Azure)Experience with constrained optimization models and statistical simulation methodsExperience in applying both Bayesian and frequentist statistical concepts to large data setsExperience with analytical Python libraries (eg. TensorFlow, Keras, scikit-learn, pandas)Knowledge of agile project management philosophies and workflowsAdequate knowledge of French is required for positions in Quebec. Additional Information:Position Type: Management Job Status: Regular - Full Time Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Quebec : Montreal Work Arrangement: Hybrid Application Deadline: 07/26/2026 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. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.Please apply directly online to be considered for this role. Applications through email will not be accepted.We know that caring for our team members is a