Lead Data Scientist

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not Specified

At Vantage, we believe data drives great decisions. We are seeking a Lead Data Scientist to harness data's potential and become a strategic leader in the retail media space. This role involves partnering closely with engineering and product teams to build innovative customer experiences. You will own the design and deployment of scalable, production-grade machine learning systems and advanced analytics frameworks, leading high-impact projects in forecasting and optimization, and championing best practices in experimentation and data-driven decision making.

Our team is based in the GTA. While we are a remote-first company, monthly get-togethers require applicants to be GTA-based.

Minimum Requirements

• 6 years of experience in data science.
• Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering).
• 2-3 years of experience in Ad-Tech or Marketing Science, delivering end-to-end data science products.
• Advanced expertise in machine learning and time-series forecasting.
• Deep understanding of statistical modeling, experimental design (A/B testing, multivariate testing), and optimization techniques.
• Strong data wrangling and pipeline development capabilities in cloud environments.
• Proficiency in Python and SQL.
• Familiarity with major cloud ML workbenches and orchestration tools (e.g., AWS SageMaker, Azure ML, GCP AI Platform).
• Hands-on experience with associated data science tooling including Docker, Git, and ML lifecycle tools (e.g., ML Flow).

Role Responsibilities

Strategic Leadership

• Grow and guide the data science team in setting technical direction, model design, and experimentation strategy.
• Partner with product and engineering leads to prioritize roadmap initiatives aligned with business objectives.

Advanced Modeling & Analytics

• Architect and implement end-to-end forecasting, measurement, and optimization models for key retail media use cases.
• Develop robust methodologies for incrementality, attribution, and campaign performance diagnostics.

Deployment & Operations

• Own the lifecycle of ML pipelines from prototyping to deployment, monitoring, and continuous improvement.
• Champion scalable and reproducible modeling workflows using modern tooling and CI/CD practices.

Collaboration & Communication

• Translate complex analytical insights into actionable recommendations for product managers, customers, and executives.
• Communicate tradeoffs and model performance clearly to both technical and non-technical stakeholders.

Team Development

• Mentor junior and senior data scientists, fostering a culture of learning, experimentation, and excellence.
• Define and refine best practices in code quality, peer reviews, documentation, and experimentation design.

About Vantage

Vantage operates in a $250BN addressable market in North America undergoing significant disruption. Retailers are transforming their digital marketing to drive customer acquisition and create new profit centers with retail media networks.

Vantage offers a unique, custom-built technology platform for retail media, providing the only turnkey solution for integrated retail media networks. Our platform significantly outperforms online media benchmarks through automation, machine learning, and AI, and is the market-leading solution with strong traction among major retailers.

We are a fully remote team based in Toronto, comprised of diverse, creative, and fun individuals. We value the flexibility of remote work.