Marketing Data Scientist

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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, Lightweight
  
  MMM, 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, Lightweight
  
  MMM, 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, Data Iku).
• Skilled in data visualization tools (e.g., Power
  
  BI, 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.

Salary :

Pay Type:

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…