Address:

We are seeking a highly skilled and inquisitive Marketing Data Scientist to join our North American Marketing Data Science team. This role will be pivotal in advancing our in-house capabilities in Marketing Mix Modeling (MMM), experimentation, and multi-touch attribution (MTA). The ideal candidate will have hands-on experience with open-source MMM tools, causal inference, and A/B testing frameworks, and will be passionate about translating complex data into actionable insights that drive smarter media investment, customer engagement, and marketing optimization.

Key Responsibilities

• Consults on analytical solutions to understand, analyze, and synthesize business requirements, enabling high-quality, fact-based decisions that drive better marketing outcomes and support strategic initiatives.
• Lead the development and implementation of in-house MMM solutions using open-source packages (e.g., Robyn, Meridian, LightweightMMM, PyMC).
• Designs, develops, and implements innovative analytical solutions including MMM, MTA, and causal inference frameworks.
• Design and execute robust experimentation frameworks including A/B testing, uplift modeling, and causal inference to evaluate marketing effectiveness.
• Provides expert guidance on the configuration, functionality, and usability of data management, analytics, and visualization technologies.
• Supports the development of strategy and roadmap for data quality, modeling, reporting, and advanced decision support tools and develop scalable, reproducible analytical pipelines for marketing analytics.
• Builds and maintains effective relationships with internal and external stakeholders to align analytics with business goals.
• Structures and assembles multi-dimensional data sets across various granularities (e.g., customer, product, transaction, media).
• Integrates data from multiple sources to enhance analysis, streamline reporting, and improve marketing performance measurement.
• Documents and maintains operational procedures related to analytical and reporting processes.

Qualifications

Education & Experience

• Typically, 4–6 years of experience in marketing analytics, data science, or econometrics, with a post-secondary degree in a quantitative field (e.g., Statistics, Economics, Data Science, Computer Science, Marketing Analytics).
   

Technical Skills

• Strong hands-on experience with open-source MMM tools (e.g., Robyn, LightweightMMM, PyMC, Prophet).
• Proficiency in Python and SQL; familiarity with R is a plus.
• Solid understanding of MTA, attribution modeling, causal inference, design of experimentation
• Experience with cloud-based data platforms (e.g., AWS, GCP, DataIku).
• Skilled in data visualization tools (e.g., PowerBI, Looker, Tableau).
   

Core Competencies

• Strong analytical and problem-solving skills with a data-driven mindset.
• Excellent communication skills with the ability to influence and collaborate across teams.
• Ability to work independently on complex analytical tasks and deliver high-impact insights.
   

Nice to Have

• Familiarity with traditional and digital media data sources (e.g., Kantar, Nielsen, Google Ads, Meta).
• Experience building custom MMM models from scratch and validating them through experimentation.
• Knowledge of Bayesian modeling and probabilistic programming.

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.