Director, Data Science & Measurement

PLUS

$100K — $125K *
Media
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in marketing science, econometrics, or advanced media analytics.
  • 3+ years designing and running attribution models like MMM and MTA.
  • Preferred experience at a Media Agency, AdTech firm, or marketing consultancy.
  • Deep knowledge of linear regression, Bayesian statistics, and causal inference.
  • Proficiency in Python or R for statistical modeling and advanced SQL for data extraction.

Responsibilities

  • Lead the design and execution of Marketing Mix Models and Multi-Touch Attribution frameworks.
  • Champion a Unified Measurement approach combining macro and micro attribution insights.
  • Determine data needs and guide data engineers in preparation for accurate modeling.
  • Architect randomized control trials and other testing frameworks to establish incrementality.
  • Continuously calibrate models using lift studies to validate marketing ROI.
  • Translate complex statistical findings into compelling business narratives for clients.
  • Mentor a team of media analysts, fostering methodological and presentation skills.

Benefits

  • Innovative work environment that values creativity and individuality.
  • Hybrid work models and flexible hours with a work-from-anywhere policy.
  • Generous vacation, starting at 3 weeks, plus an additional week for holidays.
  • Modern co-working spaces located in vibrant neighborhoods with various amenities.
  • Robust learning and development opportunities for career growth.
Full Job Description
Role Description

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.

Key ResponsibilitiesAdvanced Attribution & Econometric Modeling
  • 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.

Experimentation & Causal Inference
  • 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.

Client Consulting & Strategic Storytelling
  • 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.

Qualifications & RequirementsExperience
  • 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.

Technical & Mathematical Mastery
  • The Math: Deep theoretical and practical knowledge of linear/non-linear regression, Bayesian statistics, time-series analysis, adstock modeling, and causal inference.
  • The Tools: Hands-on proficiency using Python or R for statistical modeling and data manipulation, alongside advanced SQL to extract and aggregate data.
  • The Ecosystem (Collaborative): Broad familiarity with Google Cloud Platform (BigQuery) and Web/App Analytics (GA4/Firebase schemas)-not to build the pipelines, but to know exactly what data signals are available for your models.
  • Data Visualization: Competency in translating model outputs into clear visual stories using tools like Looker Studio, Tableau, or PowerBI.

What's in it for you:

We Value The 'whole You'
  • An innovative and entrepreneurial work environment that promotes ingenuity and individuality - with the best of colleagues, and the best of clients
  • Hybrid work models and flexible hours, plus a work from anywhere policy for short-term stays in other regions
  • Generous Vacation starting at 3 weeks + 1 extra week over the holidays
  • Agency summer days (exact policy differs per campus and agency)
  • Modern, open co-working spaces with coffee & snack bars, located in great city neighborhoods, close to shops and restaurants and easy access to public transport
  • Dogs allowed, dedicated Play Room to support families and Private wellness room (in select offices)
  • Team social events - holiday parties, seasonal gatherings, weekly happy hours, inspiring speakers and more!

We are obsessed with learning and being better humans
  • In-house learning & development sessions and annual career and growth conversations'
  • Access to internal network of opportunities across all agencies
  • Internal EDI group(s), programs & initiatives across Plus Company and opportunities to be involved in employee resource group(s)

Check out our EDI report here to learn more about our work and commitment towards equity.

We invest in your health and wellness:
  • Flexible benefits to support your individual lifestyle and life stage - with access to a personal wellness spending account you can use for a wide range of wellness expenses, including gym membership fees, pet care, education expenses, and much more!
  • Comprehensive mental health support including access to a virtual mental health therapy clinic providing you with personalized therapist guided iCBT programs and live therapy, access to health clinicians 24/7, and a holistic array of other health and wellness resources to support you and your family.
  • Dedicated play rooms for days you need to bring the kids and health and wellness rooms when you need a place to get grounded.
  • A responsible sick & personal absence days policy designed so you don't have to worry the moment a personal obligation or emergency arises.
  • Maternity leave top up program.

We're humbled by the number of talented people who apply to work with us every day. And, we thank each and every one of you. Truly. We'll reach out directly to those we'd like to meet for an interview.

To ensure a fair and consistent evaluation for all candidates, our interviewers are supported by an AI tool that securely takes notes during the conversation

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