Marketing Data Scientist

Bank of Montreal • Chicago, IL

1d

About The Position

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.

Requirements

• 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).
• 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).
• 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 Haves

• 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.

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.

Benefits

• BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees