About the company
This position is listed on behalf of a partner company, a fast-growing technology environment.
Responsibilities
- Lead and develop a team of 5 Decision Scientists and Marketing Analysts.
- Own the end-to-end delivery of paid marketing analytics workstreams, including channel-level goal-setting, pacing, incrementality testing, acquisition and retention analysis, and retailer marketing measurement.
- Lead the team's contribution to a unified marketing measurement framework encompassing Media Mix Modeling, incrementality testing, Lifetime Value, and multi-touch attribution.
- Coordinate Media Mix Modeling inputs, incrementality testing programs, and measurement reporting.
- Lead re-goaling, rebasing, and scenario modeling exercises.
- Serve as the primary analytical partner to senior marketing leadership and Finance.
- Define and drive the Marketing Decision Science roadmap.
- Partner with Marketing Data Science teams on measurement architecture, Lifetime Value modeling, and analytical infrastructure.
- Identify opportunities to improve analytical self-service, automation, and tooling.
- Proactively plan team capacity and coverage.
- Anticipate stakeholder needs and proactively surface insights.
Requirements
- 8+ years of experience in data science, analytics, or another quantitative discipline, including at least 3 years of direct management experience.
- Deep expertise in paid marketing measurement, including incrementality testing, Media Mix Modeling, attribution, Lifetime Value-based optimization, and channel-level performance analytics.
- Strong SQL and data fluency.
- Demonstrated ability to independently manage senior cross-functional relationships.
- Proven ability to translate complex quantitative analysis into clear investment recommendations.
- Experience managing and developing Decision Scientists or Marketing Analysts.
- Experience in a consumer-facing marketplace or high-growth technology environment is preferred.
- Familiarity with geo-experimentation, Bayesian methodologies, or causal inference frameworks is a plus.
- Experience with Lifetime Value-based media optimization and marketing budget allocation modeling is preferred.
- Background in building or transforming channel-level reporting and pacing infrastructure is an advantage.
Conditions
- Base pay range of $198,000–$209,000 CAD for successful candidates based in Canada.
- Eligibility for a new-hire equity grant and annual equity refresh grants.
- Remote-first flexibility.
- Current hiring eligibility is limited to Ontario, Alberta, British Columbia, and Nova Scotia.
- Market-competitive compensation and benefits.