资深数据科学家
Staff Data Scientist
Toast 通过技术帮助餐厅和本地企业在一个数字化世界中取得成功，帮助商家运营、提升销量、与客户互动并让员工保持满意。
作为资深数据科学家，你将负责设计和开发可扩展的机器学习系统，用于菜单推荐、需求预测、优惠定向和客户个性化等用例。你将在各团队之间担任技术思想伙伴，制定最佳实践，并影响支持关键业务成果的机器学习驱动产品的路线图。你的工作将直接影响战略决策，并在大规模上提升客户体验。
此职位目前有空缺。
**日常职责（Responsibilities）**
- 负责关键项目中的完整机器学习生命周期——从问题定义和数据探索到建模、部署和监控。
- 设计并实现先进的机器学习和统计模型，以提升产品性能、运营效率或客户洞察。
- 与工程师、产品经理和业务利益相关者合作，定义项目范围、成功指标和集成策略。
- 指导架构决策，设定建模标准，并推动实验、验证和生产化的最佳实践。
- 指导其他数据科学家，通过设计评审、反馈和分享领域专业知识来提高技术水平。
- 主动识别数据科学可以创造商业价值的领域，并领导跨职能团队推动这些机会。
- 利用最前沿的 AI 工具来增强开发流程，提高效率，并帮助开创新的构建方法，为团队带来创新和生产力的文化。
**你需要具备的条件（Requirements）**
- 5 年以上数据科学经验，有交付可产生显著影响的生产级机器学习系统的成功记录。
- 精通统计建模、机器学习（例如基于树的模型、时间序列、深度学习）和模型评估。
- 具备处理大规模真实产品数据的经验，并能将模糊的问题转化为明确的机器学习解决方案。
- 具备分布式数据处理和训练、实时推理以及机器学习运维（ML Ops）框架的经验。
- 有指导其他数据科学家或担任技术负责人经验。
- 有领导实验（如 A/B 测试）、因果推断和实时决策的经验
查看英文原文
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.
As a Staff Data Scientist, 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. 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.
This role is for a current vacancy.
**A day in the life (Responsibilities)**
- 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.
**What you'll need to thrive (Requirements)**
- 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.
**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 we're 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; it’s 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 [https://careers.toasttab.com/toast-benefits](https://careers.toasttab.com/toast-benefits).
#LI-Remote
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits.
Pay Range
$127,000—$203,000 CAD
**How Toast Uses AI in its Hiring Process**
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: [https://careers.toasttab.com/ai-in-hiring](https://careers.toasttab.com/ai-in-hiring)
**Our Approach to Hybrid Working**
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: [https://careers.toasttab.com/locations-toast](https://careers.toasttab.com/locations-toast)
**People Are the Secret Ingredient in Our Recipe for Success**
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.
**Apply today!**
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [candidateaccommodations@toasttab.com](mailto:candidateaccommodations@toasttab.com).
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_For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability._