BMO
Overview
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
Consult 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).
Design, develop, and implement 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.
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 and develop scalable, reproducible analytical pipelines for marketing analytics.
Build and maintain effective relationships with internal and external stakeholders to align analytics with business goals.
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.
Document and maintain 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.
Salary $88,800.00 - $165,600.00
Pay Type
Salaried
Benefits BMO offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. For more details of our benefits, please visit our benefits page.
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.
EEO Statement BMO is a proud equal employment opportunity (EEO) employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
Accommodation BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Recruiter Notice 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.
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Key Responsibilities
Consult 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).
Design, develop, and implement 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.
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 and develop scalable, reproducible analytical pipelines for marketing analytics.
Build and maintain effective relationships with internal and external stakeholders to align analytics with business goals.
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.
Document and maintain 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.
Salary $88,800.00 - $165,600.00
Pay Type
Salaried
Benefits BMO offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. For more details of our benefits, please visit our benefits page.
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.
EEO Statement BMO is a proud equal employment opportunity (EEO) employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
Accommodation BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Recruiter Notice 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.
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