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.
Were passionate about empowering restaurantstoday and into the future. Our mission is to help them adapt grow and thrive through purpose-built technology.
As a Staff Data Scientist youll lead the design and development of scalable ML systems for use cases such as menu recommendation demand forecasting offer targeting and guest personalization. You will serve as a technical thought partner across teams set best practices and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale.
A day in the life (Responsibilities)
- Own the full machine learning lifecyclefrom problem framing and data exploration to modeling deployment and monitoringfor 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.
What youll need to thrive (Requirements)
- 8 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.
Bonus ingredients*:
- An advanced degree in Computer Science Statistics or a related STEM field is preferred.
- Familiarity with MLOps tooling for monitoring drift detection retraining and explainability.
- Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment.
AI at Toast
At Toast one of our company values is that were hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster more independently and with higher quality. We provide these tools across all disciplines from Engineering and Product to Sales and Support and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; its a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract retain and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters changing needs. Learn more about our benefits at base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary our total rewards components include cash compensation (overtime bonus/commissions if eligible) benefits and equity (if eligible).
Pay Range
$120000$192000 CAD
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.Were passionate about empowering restaurantstoday and into the future. Our mission is to help them adapt grow and thri...
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.
Were passionate about empowering restaurantstoday and into the future. Our mission is to help them adapt grow and thrive through purpose-built technology.
As a Staff Data Scientist youll lead the design and development of scalable ML systems for use cases such as menu recommendation demand forecasting offer targeting and guest personalization. You will serve as a technical thought partner across teams set best practices and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale.
A day in the life (Responsibilities)
- Own the full machine learning lifecyclefrom problem framing and data exploration to modeling deployment and monitoringfor 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.
What youll need to thrive (Requirements)
- 8 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.
Bonus ingredients*:
- An advanced degree in Computer Science Statistics or a related STEM field is preferred.
- Familiarity with MLOps tooling for monitoring drift detection retraining and explainability.
- Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment.
AI at Toast
At Toast one of our company values is that were hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster more independently and with higher quality. We provide these tools across all disciplines from Engineering and Product to Sales and Support and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; its a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract retain and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters changing needs. Learn more about our benefits at base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary our total rewards components include cash compensation (overtime bonus/commissions if eligible) benefits and equity (if eligible).
Pay Range
$120000$192000 CAD
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