Brainlabs
Director, Data Science
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Director, Data Science
About Brainlabs Brainlabs is the media agency built to answer one critical question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we began as an engineering-led venture and now employ 1,000+ "Brainlabbers" across five continents. Using proprietary Marketing Mix Modelling (MMM) agents—powered by 32 media tools and 2,500 logged experiments—we connect every channel brands plan with their commercial bottom line.
The Role
As Director of Data Science, you will lead Brainlabs’ advanced MMM capability, overseeing the deployment of Google Meridian and other high-impact modelling projects for clients. You will blend technical rigour with strategic insight, ensuring data-driven results drive real business decisions for senior stakeholders.
Your key responsibilities include:
- Taking full ownership of end-to-end MMM deployments (scoping, data prep, model calibration, scenario planning, and client presentation).
- Scoping and delivering away-from-MM permissions, identifying where advanced analytics can solve critical client challenges.
- Translating complex statistical outputs into actionable commercial narratives that drive budget decisions at C-suite levels.
- Integrating AI tools (e.g., Claude) to accelerate workflows—from code development and model documentation to improving client-facing communications.
- Serving as Brainlabs' senior data science liaison for key clients, including CMO and VP-level engagements.
- Building and guiding a data science team, setting technical standards, and ensuring high-quality output.
- Developing new revenue opportunities through pitches, thought leadership, and scalable processes.
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About You
This role requires a highly skilled specialist with the following qualifications:
Technical & Technical Leadership Expertise
- MMM profundity: Deep hands-on experience with Marketing Mix Modelling, including expertise in Google Meridian, Robyn, and/or PyMC, with a proven track record of client-impactful deployments.
- Python mastery & Bayesian influence: Proficient in Python, experienced with Google Cloud Platform (GCP), and grounded in Bayesian statistics and modern attribution modelling.
- AI-forward: Leverage AI tools to streamline code, enhance documentation, and improve stakeholder engagement with technical outputs.
- Technical mentorship: Track record of leading and progressing skilled data science teams.
Communication & Commercial Perspective
- Turn sophisticated model findings into compelling stories for non-technical audiences—without compromising insight integrity.
- Translate data-driven insights into media budget decisions at C-suite levels.
- Commercial acuity: Align technical decisions with business outcomes in stakeholder conversations.
Impact-Driven Leadership
- Stay close to hands-on work while shaping the team’s strategic direction.
- Commit to rigorous standards for model quality, validation, and client trust.
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How You Succeed
Your effectiveness will be measured by:
- Client outcomes: Clients cite budget shifts informed by your work and show evidence of incremental value delivered.
- Model quality: Every MMM deployment meets documented standardised benchmarks, with defensible calibration, validation, and scenario outputs.
- Communication excellence: Senior stakeholders adopt your recommendations, reflected in repeat business and positive client feedback.
- AI adoption: Documented efficiency gains in workflows after integrating AI tools.
- Team growth: Data scientists showcase developed capabilities (evidence via projects, mentorship records, or capability reports).
- Practice expansion: At least one new pitch quarterly and published thought leadership that strengthens Brainlabs’ credentials.
- Growth & revenue: Increased revenue and client base against set targets.
The Process
To ensure the right fit, proceed through a comprehensive interview process, including skills conversations with the Brainlabs team.
Brainlabs is committed to diversity and inclusion. We actively welcome applications from candidates of all backgrounds and identities and are an equal opportunity employer, proactively supporting accessibility. Scams will never request personal payments—reports of such should be directed to your relevant authorities.
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