Staff Data Scientist, Marketing
New
CanadaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 6+ years (Ph.D.) or 10+ years (Master’s)
- Required Skills
- PythonSQLR
Requirements
- Advanced degree (Master’s or Ph.D.) in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or related disciplines.
- 6+ years (Ph.D.) or 10+ years (Master’s) of industry experience in data science, marketing science, or econometrics.
- Strong expertise in Marketing Mix Modeling (MMM), incrementality testing, causal inference, and customer lifetime value modeling.
- Advanced proficiency in Python or R and SQL.
- Experience building scalable, production-grade data pipelines and statistical models.
- Proven ability to influence executive-level stakeholders and translate complex quantitative analysis into business strategy.
- Strong strategic thinking, adaptability, and experience working in ambiguous, fast-paced environments.
- Excellent communication, leadership, and cross-functional collaboration skills.
Responsibilities
- Define and own the long-term (2–3 year) marketing measurement roadmap, including North Star metrics and strategic frameworks for budget allocation.
- Develop and enhance Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to quantify incremental marketing impact across channels.
- Design and execute advanced causal inference methodologies, including geo-holdout experiments and incrementality testing frameworks.
- Build unified measurement approaches that connect B2B advertiser growth and B2C user acquisition, identifying cross-flywheel synergies.
- Partner with Marketing, Growth, and Finance teams to translate complex analytical insights into strategic budget and investment decisions.
- Lead technical standards across marketing science initiatives, mentoring junior data scientists and improving modeling rigor and code quality.
- Communicate findings and recommendations to senior and executive stakeholders, influencing high-level strategic direction.
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