Description
As a Staff Data Scientist at Toast, you'll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization.
Your responsibilities will include:
- Owning the full machine learning lifecycle,from problem framing and data exploration to modeling, deployment, and monitoring,for mission-critical initiatives.
- Designing and implementing advanced ML and statistical models that improve product performance, operational efficiency, or customer insights.
- Collaborating with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy.
- Guiding architectural decisions, setting modeling standards, and championing best practices for experimentation, validation, and productionization.
- Mentoring other data scientists and raising the technical bar through design reviews, feedback, and sharing domain expertise.
- Proactively identifying areas where data science can create business value and leading cross-functional efforts to drive those opportunities forward.
- Leveraging cutting-edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building.
To thrive in this role, you'll need:
- 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.
The base salary range for this role is $127,000-$203,000 CAD.