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About the Role
We are hiring a Data Science Manager to lead project delivery across a range of data science engagements and serve as a key point of contact for clients. You will manage the day-to-day work of analyst-level team members, translate complex analytical findings into client-ready insights, and navigate stakeholder conversations with confidence. The work spans predictive modeling, regression analysis, and marketing analytics, and this role sits at the intersection of technical delivery and account management.
Responsibilities
- Own end-to-end delivery of data science projects, including scoping, data collection, model development, and final presentations.
- Serve as the primary client contact for active engagements, managing feedback, handling methodology questions, and maintaining strong working relationships.
- Translate model outputs into clear, actionable recommendations for marketing clients.
- Lead stakeholder discussions around model scope, data requirements, and interpretation of results.
- Manage and mentor analyst-level team members, providing direction on analytical tasks and reviewing outputs for quality.
- Coordinate across internal teams to align MMM outputs with broader client deliverables.
- Contribute to proposal development and statements of work for new and existing client engagements.
Requirements
- 3 to 6 years of experience in a quantitative or analytics role, with at least 2 years in a client-facing capacity.
- Solid working knowledge of regression-based modeling and Marketing Mix Modelling methodology.
- Proven ability to manage client relationships, handle pushback professionally, and maintain project momentum under competing demands.
- Experience presenting analytical findings to non-technical stakeholders and adapting communication style to different audiences.
- Understanding of the marketing lifecycle, key KPIs and metrics.
- Strong organizational skills and the ability to manage multiple concurrent projects.
Skills
- Python
- R
- Marketing Mix Modelling
- Regression-based modeling
- Bayesian regression methods
- Adstock modeling
Location
- Canada
Work Type
- Hybrid
- Full-time
Experience Level
- Manager
- 3-6 years
Salary/Compensations
- $90,000 - $100,000
Benefits
- Competitive salary
- Benefits
- Professional development support
- Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days
- Four-day long weekends
- Half-day summer Fridays
- Meeting-free Friday afternoons year-round
- Flexible hybrid work model
- Formal training opportunities, including mental health training and inclusion education
- Chance to be part of and grow within a global network of agencies
- Opportunity to contribute to company culture by joining employee groups
About the Company
- At Omnicom Media Canada, careers are designed for growth. We’ve purposefully crafted a transformative talent experience built with accountability in action - focused on community, impact, and opportunity.
- Community - We build a culture where our people show up for each other, grow together, and win together.
- Impact - Your work creates real outcomes — for clients, for the business, and for the industry.
- Opportunity - We give you the runway, resources, and support to keep rising — on your terms and at your pace.
- Omnicom Media Canada is dedicated to cultivating a workplace that not only respects but actively champions Inclusion, Diversity, and Equity through Action (IDEA).
- This commitment ensures our workforce reflects the rich cultural mosaic of Canada, shaping how our teams, leadership, and client relationships thrive.
Equal Opportunity
- Omnicom is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, or municipal law.
- If you require an accommodation in any aspect of the selection process, please reach out to canadatalent@mbww.com.