Marketing Science Lead
- Toronto, ON, Canada
$90,000-$120,000 CAD · Full-time
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Job details
- Pay
- $90,000-$120,000 CAD
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Critical Mass
Job Function
Data and Analytics
Job Subfunction
Data Science and Analytics
Job Description
As the Marketing Science Lead, you will champion data science and measurement practices with everyone: across multidisciplinary agency teams, client teams, and anyone else you come across and client stakeholders. You bring deep expertise across the core sub-disciplines of Marketing Science,
You’re a rock star in all five sub-disciplines of Marketing Science - tracking and measurement, data visualization, testing and evaluation, data integration, and statistical modeling - but you pretty much wrote the book on at least one of them including tracking and measurement, data visualization, media and site testing, data integration, and statistical modeling- with an advanced specialization in at least one area..
Gaining A core focus of this role is leadership: you will supervise, mentor, and develop a team of analysts, guide their work priorities, timelines, and deliverables. You are committed to cross-training your team across all the sub-disciplines, cultivate their expertise to advance both their professional development and the maturity of our client-analyses. experience through supervising and developing a passionate team of analysts (including their work priorities, timelines, deliverables, and training) is definitely something you’re looking for. And you’re ready to expose your team to all sub-disciplines - because you believe it’s crucial to cultivate their expertise for both team development and client needs.
You Will
- Strategic Measurement & Modeling: Lead the application of empirical practices, statistical modeling (including an understanding of advanced MMM, MTA, or other regression models), and response curve analysis in digital experience design, media planning, and campaign optimization.
- Data Science Execution: Lead or execute ongoing data science initiatives, including performance projections, correlation analysis, and ad fatigue monitoring to inform weekly campaign optimization.
- Measurement Frameworks: Architect and contribute to robust measurement frameworks, adapting success metrics to account for the evolving impact of AI and shifting digital privacy standards.
- Project Leadership: Oversee and deliver complex, multi-stage analytics projects involving multiple contributors, ensuring rigorous quality control and timely delivery.
- Cross-Functional Collaboration: Partner with client teams and internal stakeholders to identify, prioritize, and address complex business needs, translating raw data into actionable strategic narratives.
- Process Innovation: Architect creative solutions for process improvement, automated reporting, and methodological design. Build, document, and scale new measurement frameworks across the practice.
- Agency Enablement: Foster a culture of analytical excellence by demystifying marketing science and effectively communicating mathematical practices to non-technical stakeholders across the agency.
- Team Development: Actively manage the day-to-day operations of team members, ensuring continuous growth within their roles. Delegate effectively, providing analysts with opportunities to own projects individually while collaborating seamlessly on larger accounts.
- Team Leadership: 1 to 2+ years of experience directly managing teams of two or more, or equivalent experience serving as a senior mentor guiding the daily deliverables of junior analysts.
- Technical Expertise: Deep proficiency across modern marketing analytics platforms and cloud architecture (e.g., SQL, BigQuery, Python, Google Analytics 4, Adobe Analytics).
- Data Visualization: Advanced capability in BI tools and data visualization platforms (e.g., Tableau, Looker) to build intuitive, scalable client reporting.
- Executive Communication: Exceptional written and oral communication skills, with a proven ability to distill complex technical concepts into clear, executive-level business strategy for non-technical audiences.
- People Management: Proven team and project management experience, demonstrating a strong track record of training, mentoring, and developing analytical talent.
- Client Consulting: Confidence in client-facing environments, with the ability to suggest innovative measurement strategies (such as market lift or A/B testing) to drive organic growth and defend media investment pivots.
- Infrastructure & Governance: A comprehensive understanding of marketing data governance, data management, and advanced econometric modeling.
- Problem Solving: Creative problem-solving skills, remaining calm and effective when troubleshooting data anomalies, technical roadblocks, or complex client requests.
- Agile Prioritization: Strong organizational skills, adept at balancing long-term strategic roadmaps with urgent ad-hoc reporting needs as they arise.
To the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/
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$90,000-$120,000 CAD
More about this job
Responsibilities
Lead marketing science strategy and execution, including measurement frameworks, statistical modeling, campaign optimization, and complex analytics projects. Manage and develop analysts while partnering with clients and internal teams to turn data into actionable recommendations and improve analytical processes.
Requirements
Requires 1–2 or more years of team leadership or equivalent senior mentoring experience, strong proficiency in marketing analytics platforms, cloud data tools, and BI visualization, and experience managing projects and developing analysts. Candidates should also demonstrate executive communication, client consulting, data governance, econometric modeling, and the ability to prioritize strategic and urgent analytical work.
Skills
- Marketing Science
- Statistical Modeling
- Marketing Mix Modeling
- Multi-Touch Attribution
- Regression Analysis
- Response Curve Analysis
- Measurement Frameworks
- Data Integration
- Data Visualization
- SQL
- BigQuery
- Python
- Google Analytics 4
- Adobe Analytics
- Tableau
- Looker
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Marketing
- Management & Leadership
- Technology
- Consulting
Keywords
- Marketing Science
- Tracking And Measurement
- Data Visualization
- Testing And Evaluation
- Data Integration
- Statistical Modeling
- Marketing Mix Modeling
- Multi-Touch Attribution
- Regression Models
- Response Curve Analysis
- Campaign Optimization
- Performance Projections
- Correlation Analysis
- Ad Fatigue Monitoring
- Measurement Frameworks
- Digital Privacy
- SQL
- BigQuery
- Python
- Google Analytics 4
- Adobe Analytics
- Tableau
- Looker
- Data Governance
- Econometric Modeling
- A/B Testing
- Market Lift
- Automated Reporting
- Project Management
- Team Development