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Marketing Science Lead (Media Analytics)

Toronto

As a Marketing Science Lead, you are endlessly curious, always asking the next question to demonstrate the value of marketing science to internal and external stakeholders. With 5 to 8 years of experience leading media analytics projects, you have developed expertise in measurement, reporting, data integration, testing, data visualization, and statistical modeling. You optimize digital marketing through data-driven insights, enjoy cross-functional collaboration, and excel at mentoring analysts to translate findings into actionable recommendations.

You’re eager to grow as a leader by managing a team of analysts, overseeing their priorities, deliverables, and development, while exposing them to all areas of marketing science to expand their skillsets.

Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from the Toronto office on Mondays and Thursdays.

You will:

  • Ensure analyses, dashboards, and reports meet client needs and deliver actionable insights.
  • Shape analytics content and provide thought leadership on methodology and technology.
  • Lead end-to-end measurement strategy across multiple accounts and campaign types.
  • Partner with media, strategy, and client teams to evaluate how performance is understood and guide optimization.
  • Bring proactive recommendations — not just observations.
  • Oversee the mapping and implementation of data flows, and ensure compliance with data governance.
  • Manage, coach, and develop analysts, and participate in hiring and training.
  • Occasionally support senior colleagues with analytics material for new business pitches and request for proposals.

You have:

  • B.S. degree in a quantitative or technical field. Including but not limited to economics, mathematics, business, finance, social sciences, computer science, or information management. M.S. degree preferred.
  • Expertise in Python, R, SQL, or other business-relevant statistical programming language.
  • Expertise with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, website systems implementation.
  • Experience with visualization platforms (Domo, Tableau, Power BI, Looker etc.), and knowledge of their strengths and limitations.
  • Advanced skills in common Microsoft 365 products (Excel, PowerPoint, etc.).
  • Experience using GA4.
  • Strong communication skills with client-facing experience.
  • Proven ability to lead and collaborate with cross-functional teams to deliver measurement solutions that optimize media performance and business impact.
  • Experience directing and mentoring analysts.
  • 5+ years in media analytics implementation, including:
    • Hands-on management of analytics projects to optimize media investment.
    • Working with media platforms (Social platforms, CM360, DV360, etc.).
    • Media taxonomy strategy and governance.
    • Developing measurement plans using first- and third-party data.
    • Designing and executing test & learn programs, coordinating test set ups, learning agendas and presenting results. 

You may have:

  • Experience working with third-party data tools (Brandwatch, Pathmatics, etc.), website experimentation platforms (Optimizely, Adobe Target, etc.), or Customer Data Platforms (CDP), and their integration into MarTech ecosystems.

What we offer:

  • Global maternity and parental leave
  • Competitive benefits packages
  • Vacation, compassionate leave, personal/sick days, and flex days
  • Access to online services for families and new parents
  • Early Dismissal Friday’s (off at 3:00 PM local time every Friday)
  • 13 affinity groups
  • Internal learning and development programs
  • Enterprise-wide employee discounts
We continually review ranges to address skills, experience and markets. Base salaries are determined during our interview process, by assessing a number of factors that include, but aren’t limited to, a candidate’s experience and skills relative to the scope and responsibilities of the position. For current CM employees, tenure will also be a consideration.

Salary Range

$90,000 - $120,000 CAD

Critical Mass is an equal opportunity employer. 

Critical Mass uses artificial intelligence in our recruitment process to enhance job postings, filter keywords during the review of prospective candidates, and, in some cases, transcribe interviews with our recruiters. Human review remains central to the process, and all hiring decisions are ultimately made by our team.

The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com, omc.com and us.greenhouse-mail.io. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly.

If U.S. based: https://www.consumer.ftc.gov/articles/job-scams#avoid
If Canada based: https://www.canada.ca/en/services/finance/consumer-affairs.html
If U.K. based: https://www.gov.uk/consumer-protection-rights
If Costa Rica based: https://www.consumo.go.cr/educacion_consumidor/consejos_practicos.aspx 

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Voluntary Self-Identification

At Critical Mass, we are dedicated and determined to build a workforce that reflects the diversity of the communities in which we live and work. It is crucial that every team member can thrive and reach their full potential.

With that said, we’d like to know a little more about you. We ask all applicants to fill out the below voluntary self-identification questions in order to evaluate and improve our recruitment and diversity efforts. Answering is completely voluntary and will not affect the outcome of your application.

The data collected may be reviewed by the Critical Mass Talent Acquisition Team, Human Resources, our Diversity, Equality and Inclusion team, and our executives, but they will neither be reviewed by nor disclosed to anyone else. All the information that you share with us pursuant to this survey will be stored on our secure network servers located within Canada and the United States.  We will only retain this information so long as it is necessary for the purpose that we have described here or as may be required by applicable laws. Thereafter, we will either anonymize the information or delete it entirely.  If you elect to complete this survey, and at any point in the future you wish to retract or amend your responses, or otherwise have any questions about your data, you may contact our Talent Acquisition team at accommodations@criticalmass.com.

As set forth in Critical Mass’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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Persons with Disabilities means persons who have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

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