Staff Data Scientist, Marketing

About This Opportunity

We are representing a confidential digital media company in their search for a Staff Data Scientist, Marketing based in Canada. Our client operates at the intersection of consumer discovery and performance marketing, reaching millions of users monthly across multiple brands in finance, travel, and lifestyle verticals.

This is a hands-on, full-stack data science role where you'll own the complete modeling lifecycle for a priority business vertical—from problem framing through deployment and live performance monitoring. You'll work directly with business stakeholders to drive measurable ROAS improvements, starting with Insurance and Advertiser Quality modeling, with scope expanding over time.

Responsibilities

• Own end-to-end data science delivery for a priority vertical, from business problem definition through deployed model performance with measurable ROAS impact
• Build and deploy buying models that maintain positive ROAS and advertiser quality standards
• Drive lead quality improvements across multiple brand touchpoints including messaging, funnels, and content experiences
• Partner directly with vertical business stakeholders to frame problems, validate approaches, and measure impact
• Collaborate with ML engineering teams to deploy and monitor models in production AWS environments
• Identify and execute on net-new modeling opportunities that drive revenue growth and media efficiency
• Produce validated, documented, production-ready output with minimal correction burden
• Stay engaged through the full deployment cycle, monitoring live performance and iterating based on results

What We're Looking For

Required Experience and Skills:

• 5+ years in hands-on, applied data science roles delivering measurable business impact
• Proven experience in digital marketing, performance marketing, or the lead generation industry
• Strong track record building adtech algorithms and supporting user acquisition or paid media modeling
• Solid modeling fundamentals with demonstrated ability to build models that drive business outcomes
• Multi-year, hands-on experience building and deploying ML solutions in AWS cloud environments
• Practical experience across core technique areas: multi-armed bandit/reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel optimization, and LTV modeling
• Expert-level Python and SQL skills
• Business-first problem framing: starts with the metric and the problem, not the model
• Full-stack ownership mentality from problem definition through live performance
• Proactive communication style and strong collaboration skills

Preferred Background:

• Experience with sophisticated ML at companies where paid digital media is core to the business model
• Creative embeddings work incorporating creatives, videos, headlines, and search into paid media models
• Insurance domain experience
• Building state-of-the-art ad ranking algorithms
• Modeling against ad-platform data (Google, Meta, native platforms)
• LLMs or deep learning applied to personalization or content
• Familiarity with Looker

How We Work With You

As a recruiting partner for this confidential client, Get A Job.ai manages the entire candidate experience. When you apply through our platform, one of our recruiters will screen your background and match your skills to the role requirements. If there's a strong fit, we'll submit your profile to our client and guide you through their interview process.

Important: Please apply only through Get A Job.ai. Do not attempt to contact the client directly, as all applications must come through our official channel to be considered.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Get A Job.ai is committed to diversity, equity, and inclusion in our recruiting practice. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability status, or other legally protected characteristics.