BMO U.S. · 1 week ago
Marketing Data Scientist
Chicago, IL
Full-time
Onsite
Mid, Senior Level
$89K/yr - $166K/yr
4+ years expBMO U.S. is seeking a highly skilled and inquisitive Marketing Data Scientist to join their North American Marketing Data Science team. The role is pivotal in advancing in-house capabilities in Marketing Mix Modeling and experimentation, focusing on translating complex data into actionable insights that drive smarter media investment and marketing optimization.
Banking
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
Qualification
Required
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
Preferred
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
Benefits
Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Company
BMO U.S.
We’re a bank, but there’s more to it than that. We're a top ten bank in North America and have been serving our customers since 1817.
5001-10000 employees
H1B Sponsorship
BMO U.S. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (11)
2023 (41)
2022 (22)
2021 (14)
2020 (21)
Funding
Current Stage
Late StageLeadership Team
Mike Morton
Vice Chair U.S. Commercial Banking
Recent News
2025-10-16
2025-09-23
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