Manager, Data Science

Résumé du poste

The Data Science Manager will lead end-to-end delivery of data science projects, including model development and client presentations. They will also manage and mentor analyst-level team members while serving as the primary point of contact for client engagements.

Détails du poste

Agency: Omnicom Media Job Function: Data and Analytics Job Subfunction: Data Science and AI Job Description: Position Summary 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. Key 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 (decompositions, ROI estimates, diminishing returns curves) into clear, actionable recommendations for marketing clients. Lead stakeholder discussions around model scope, data requirements, and interpretation of results, including managing requests that fall outside agreed project boundaries. Manage and mentor analyst-level team members, providing direction on analytical tasks and reviewing outputs for quality. Coordinate across internal teams (strategy, media, platforms) to align MMM outputs with broader client deliverables. Contribute to proposal development and statements of work for new and existing client engagements. Desired Skills & Experience 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. Proficiency in Python or R, and comfort working with media, sales, or consumer dataset types. Understanding of the marketing lifecycle, key KPIs and metrics Strong organizational skills and the ability to manage multiple concurrent projects. Nice to Have Experience at a marketing agency or management consultancy. Familiarity with Bayesian regression methods and adstock modeling. Background working with media planning or analytics platforms. What we offer A high-visibility role with direct client impact across a range of industries. Opportunity to shape how the team approaches client delivery and model communication. Competitive salary, benefits, and professional development support. Why Join Omnicom Media Canada 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. This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis. Expected Salary: $90,000 - $100,000 Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant’s education, experience, knowledge, skills and abilities. In addition, Omnicom Media provides rewarding offerings such as: • Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons year-round. • A flexible hybrid work model that works for you. • A focus on personal development with formal training opportunities, including mental health training and inclusion education for everyone. • A chance to be part of and grow within a global network of agencies. • The opportunity to contribute to our company culture by joining one of our many community-based employee groups, such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge. 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 $90,000 -$100,000 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. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance. 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/

Ce que vous ferez

The Data Science Manager will lead end-to-end delivery of data science projects, including model development and client presentations. They will also manage and mentor analyst-level team members while serving as the primary point of contact for client engagements.

Exigences

Candidates should have 3 to 6 years of experience in a quantitative or analytics role with a strong background in regression-based modeling. Proficiency in Python or R and proven ability to manage client relationships in a marketing or consultancy environment are essential.

Avantages

• Paid time off • Vacation • Wellness days • Flexible hybrid work model • Professional development support • Mental health training • Inclusion education • Employee community groups

Compétences indiquées

• Visualisation de données · Souhaitée
• Gestion de projet · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data science
• Marketing mix modelling
• Regression analysis
• Predictive modeling
• Python
• R
• Client management
• Stakeholder communication
• Project management
• Data visualization
• ROI estimation
• Mentorship
• Marketing analytics
• Statistical modeling
• Data collection
• Proposal Development
• Accountability
• Organizational Skills
• Time Off Management
• Media Planning
• Project Delivery
• Account Management
• Artificial Intelligence
• Analytics
• Mental Health
• Management Consulting
• Communication
• Municipal Law
• Sales
• R (Programming Language)
• Leadership
• Marketing
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Marketing Mix Modeling
• Marketing Analytics
• Regression Analysis
• Predictive Modeling
• Presentations
• Reviewing Applications
• Data Science

Domaines d’emploi

• Data & Analytics
• Marketing
• Management & Leadership
• Creative & Media
• Consulting
• Data Science Manager
• Research and Development Managers
• Data Scientists