Marketing Science Lead - Google, Toronto
Posted: October 17, 2026
Join Google in Toronto as a Marketing Science Lead for Google's Large Customer Sales teams. Advise top advertisers on advanced data measurement, attribution, and privacy-durable media strategies.
at a glance
- Location
- Toronto, ON, Canada
- Category
- marketing
- Salary
- $156000 - $159000 (CAD)
- Compensation
- 60% bonus target + equity + benefits
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job description
The opportunity
As a Data, Measurement and Analytics Specialist, you will act as an advisor to Google’s largest and most sophisticated advertisers. You will lead the measurement and experimentation strategy, using insights to solve business issues and unlock new avenues for growth during a pivotal moment of industry transformation. Working at the intersection of media, technology, and data science, you will partner with our clients to guide their measurement maturity and support their business goals.
Google's Large Customer Sales teams are strategic partners and industry thought leaders to the world's leading brands and agencies. As a member of our LCS team, you will have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses.
Responsibilities
- Understand privacy-durable data foundations for clients by guiding the implementation of Google’s tagging infrastructure (gTag, Google Tag Manager (GTM), server-side GTM) and first-party data solutions (Data Manager API, Google Cloud integrations) to ensure resilient signal capture.
- Develop measurement plans for advertisers and agencies using incrementality experiments, MMM, and attribution frameworks to prove media value.
- Act as a technical advisor to analytics, finance, and marketing decision-makers; challenge the status quo, build executive partnerships, and deliver compelling data stories that influence business decisions.
- Lead the business-cycle for prioritized data and measurement opportunities across Google Ads and Google Marketing Platform products, managing feature adoption, scaling AI innovation, and accelerating business growth.
- Apply data science, causal inference, and statistical modeling techniques to design incrementality experiments, optimize MMM data inputs, and help clients navigate changing industry privacy standards.
Skills and experience
Candidates must meet the following minimum qualifications to be considered for this role:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
- Experience working with advanced measurement methodologies, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), Incrementality testing (Conversion Lift, Brand Lift), or Causal Impact analysis.
The following preferred qualifications are also valued for the position:
- Experience in deploying first-party data strategies, customer data systems, and Google’s measurement ecosystem, including Google Analytics, tagging systems (gTag, GTM), and key APIs.
- Experience managing and influencing executive stakeholder relationships on recommending ways to improve product and customer strategy.
- Ability to execute measurement frameworks, marketing experiments, incrementality testing, causal lift, MMM, and Multi-Touch Attribution.
- Ability to consult with executive clients, manage external vendors, and partner across cross-functional teams to drive alignment.
- Excellent statistical skills to translate datasets into financial insights, compelling dashboards, and clear executive presentations.
Benefits
- Canada salary range of $156000 - $159000 CAD
- 60% bonus target
- Equity
- Benefits package
frequently asked questions
Where is this role based?
This role is based in Toronto, ON, Canada.
What is the salary range for this position?
The salary range in Canada is $156,000 - $159,000 CAD, plus a 60% bonus target, equity, and benefits.
What education or experience is minimally required?
A Bachelor's degree or equivalent practical experience is required, along with 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis, plus experience working with advanced measurement methodologies.
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