We are seeking a highly skilled and curious data scientist to join our North American Marketing Data Science team. This role will be instrumental in driving data-informed decision-making across marketing strategy, media investment and optimization, customer engagement, and campaign performance. The ideal candidate will bring deep expertise in marketing data science models, along with a strong ability to translate complex data into actionable insights.

Key Responsibilities

• Partner with marketing and cross-functional teams to understand business needs and deliver analytical solutions that drive better marketing outcomes.
• Design, develop, and implement innovative data science models to support marketing initiatives such as customer lifetime value (CLTV) prediction, customer segmentation and clustering, lookalike modeling, churn prediction, uplift modeling and experimentation frameworks, personalization and targeting algorithms, and campaign response modeling.
• Provide expert guidance on the configuration, functionality, and usability of data management, analytics, and visualization technologies.
• Support the development of strategy and roadmap for data quality, modeling, reporting, and advanced decision support tools.
• Lead and contribute to the design, implementation, and management of new analytics and reporting solutions.
• Build and maintain effective relationships with internal and external stakeholders to align analytics with business goals.
• Develop and deliver regular and ad-hoc reports, dashboards, and visualizations to communicate insights clearly to diverse audiences.
• Structure and assemble multi-dimensional data sets across various granularities (e.g., customer, product, transaction, media).
• Integrate data from multiple sources to enhance analysis, streamline reporting, and improve marketing performance measurement.
• Support strategic analytics initiatives in collaboration with cross-functional teams.
• Develop tools and training programs to enable self-serve analytics for non-technical users.
• Document and maintain operational procedures related to analytical and reporting processes.

Qualifications Education & Experience:

• Typically 3–4 years of relevant experience with a post-secondary degree in a quantitative field (e.g., Statistics, Economics, Data Science, Computer Science, Marketing Analytics) or equivalent combination of education and experience.

Technical Skills:

• Proficiency in statistical and analytical tools: Python, SQL, SAS
• Experience with data visualization tools: Power BI
• Experience with cloud-based data platforms (e.g., AWS, GCP, DataIku)
• Strong understanding of predictive modeling, clustering, classification, regression, causal inference, and marketing-specific modeling techniques

Core Competencies:

• Strong statistical modelling, analytical and problem-solving skills
• Excellent verbal and written communication
• Ability to influence and collaborate across teams
• Data-driven decision-making mindset
• Ability to work independently on complex tasks and unique situations

Nice to Have:

• Knowledge of experimentation frameworks, uplift modeling, and A/B testing
• Experience with MLOps
• Familiarity with media data sources (e.g., Kantar, Nielsen, Google Ads, Meta)

Salary: $67,200.00 - $124,200.00

Pay Type: Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.