Director, Marketing Science

Who We Are

At Plus Company Media, we thrive at the crossroads of creativity, strategy, and innovation. As part of a global network of 26 agencies, we connect brilliant talent with iconic brands to craft media solutions that spark conversations and deliver results. Our collaborative energy fuels bold ideas, empowers growth, and ensures we stay ahead in an ever-evolving media landscape. Working with us means tapping into a vibrant ecosystem where your expertise shines brighter and your impact reaches further.

For this role, you can expect a salary between $100,000-$125,000 annually, depending on experience. This is for a new vacancy.

As the Director, Data Science & Measurement
, you will be the primary analytical mind and strategic architect behind our advanced media attribution, experimentation, and business science methodologies. This role is designed for a heavyweight statistician and media measurement expert who thrives on solving the "what worked and why" for major brands.

While you will collaborate closely with our dedicated internal Data Engineering and Infrastructure teams—who build and maintain our cloud pipelines—you will own the mathematical frameworks, model designs, and causal inference methodologies. You will act as a senior leader, serving as the crucial bridge who translates complex statistical outputs (like MMM, MTA, and lift studies) into high-level strategic narratives and multi-million-dollar budget optimization recommendations for modern CMOs and CFOs.

• Location: Montreal, QC (Open to Toronto or Vancouver for the right fit)
• Core Focus: 70% Statistical Modeling, Attribution Methodology & Experimental Design; 30% Client Consulting, Narrative Strategy & Team Mentorship.

• Methodology Ownership: Lead the theoretical design, validation, and mathematical execution of custom Marketing Mix Models (MMM), Multi-Touch Attribution (MTA), and customer Path-to-Conversion frameworks.
• Unified Measurement Strategy: Champion a "Unified Measurement" approach, combining macro-level MMM econometric trends with micro-level digital attribution signals to give clients a singular source of truth.
• Advanced Feature Engineering & Design: Determine the data requirements, adstock transformations, and saturation curve variables needed for accurate modeling, directing data engineers on how to prepare these schemas.

• Testing Frameworks: Architect randomized control trials (RCTs), matched-market tests, and geo-lift studies to establish true incrementality and validate marketing models.
• Model Calibration: Use test-and-learn results and lift studies to continuously calibrate and ground MMM/MTA models, stripping out correlation and proving true causal media ROI.

• Strategic Translation: Turn highly complex mathematical outputs, coefficient shifts, and statistical variances into clear, visual, and highly compelling business recommendations.
• Budget Optimization: Guide clients on optimal media mix scenarios, flighting strategies, and cross-channel budget reallocations based on model predictions.
• New Business & Growth: Serve as the measurement subject matter expert during high-profile agency pitches, articulating our advanced attribution capabilities to prospective client stakeholders.
• Team Mentorship: Direct and mentor a growing team of media analysts and marketing scientists, cultivating deep methodological expertise and client-ready presentation skills.

• 7+ years of professional experience in marketing science, econometrics, data science, or advanced media analytics.
• 3+ years of experience specifically focused on designing and running attribution models (MMM/MTA) and designing lift/incrementality experiments.
• Strongly Preferred: Direct experience working within a Media Agency
  , AdTech firm, or marketing consultancy.

• The Math: Deep theoretical and practical knowledge of linear/non-linear regression, Bayesian statistics, time-series analysis, adstock modeling, and causal inference.
• The…