Data Scientist

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

• Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives.
• Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights.
• Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy.
• Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization.
• Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise.
• Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

• 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact.
• Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation.
• Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions.
• Experience with distributed data processing and training, real-time inference, and ML Ops frameworks.
• Prior experience mentoring other data scientists or acting as a tech lead.
• Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems.
• Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD.
• Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock.
• Excellent communication skills and the ability to influence both technical and non-technical stakeholders.
• Strong business acumen with the ability to align technical solutions with company goals.

• Remote work.
• Base salary range: $127,000 - $203,000 CAD.
• Total rewards include cash compensation, equity, and benefits.