Staff Data Scientist, Marketing
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist, Marketing based in Canada.
This is a high-impact, senior individual contributor role focused on shaping how marketing effectiveness is measured across large-scale consumer and advertiser ecosystems.
You will define the strategy behind marketing intelligence, influencing how significant budgets are allocated across growth and brand initiatives.
The role sits at the intersection of advanced econometrics, experimentation, and business strategy, translating complex causal insights into executive decisions.
You will build and evolve Marketing Mix Models and attribution frameworks that quantify incremental impact across multiple channels.
Working closely with Marketing, Growth, and Finance, you will help unify B2B and B2C measurement strategies into a single coherent system.
This environment is highly autonomous and research-driven, with strong emphasis on statistical rigor and long-term impact.
Accountabilities:
- Define and lead the long-term marketing measurement strategy by building a 2–3 year roadmap, establishing North Star metrics, and shaping frameworks that guide large-scale marketing investment decisions.
- Develop, refine, and operationalize advanced Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to measure incremental impact and optimize marketing ROI across channels.
- Design unified measurement frameworks that connect B2B (advertiser acquisition and retention) and B2C (user acquisition and engagement) growth strategies, identifying cross-flywheel synergies.
- Lead causal inference initiatives, including geo-experiments, holdout tests, and always-on incrementality measurement to assess both short-term and long-term marketing effects.
- Partner with senior stakeholders across Marketing, Growth, and Finance to translate complex analytical outputs into clear business actions and budget decisions.
- Provide technical leadership by mentoring data scientists, setting best practices in experimentation, statistical rigor, and production-grade analytical development.
- Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, Engineering, Computer Science, or a related quantitative discipline.
- 6+ years (Ph.D.) or 10+ years (Master’s) of industry experience in marketing science, econometrics, growth analytics, or applied data science roles.
- Strong expertise in marketing measurement methodologies, including MMM, incrementality testing, causal inference, and customer lifetime value modeling.
- Advanced programming skills in Python or R and SQL, with experience building scalable data pipelines and production-level analytical systems.
- Deep understanding of experimental design, statistical modeling, and machine learning techniques applied to business problems such as churn prediction or attribution modeling.
- Proven ability to influence executive stakeholders and communicate complex quantitative insights in a clear, business-oriented manner.
- Experience working in fast-paced, ambiguous environments requiring independent problem-solving and framework development.
- Global benefits programs supporting lifestyle needs, professional development, and caregiving support
- Family planning support
- Gender-affirming care coverage
- Mental health and coaching resources
- Comprehensive medical coverage and health care spending accounts
- Retirement savings plan with employer matching contributions
- Income replacement and protection programs
- Flexible vacation policies and paid volunteer time off
- Generous paid parental leave.
Requirements:
Benefits:
Data & ML pay context
Based on 1,321 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $106K–$246K).
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