数据科学家 II
Data Scientist II
Toast 通过构建餐厅平台，帮助餐厅适应变化、掌控业务，并回归到他们最擅长的事情：打造他们热爱的事业。
Toast 正通过将技术与对客户成功的卓越承诺相结合，改变餐饮行业的经营方式。我们通过结合餐厅销售点系统、面向顾客的技术和获奖的客户服务，帮助餐厅优化运营、增加收入并提供出色的顾客体验。加入我们，赋能餐饮社区，让顾客感到惊喜，做他们热爱的事情，并蓬勃发展。
**_Bready*_ **准备好做出改变了吗？**
Toast AI 工程团队正在寻找一名数据科学家，通过与工程师和产品经理合作，将数据科学能力嵌入 Toast 平台，开发支撑关键产品线的统计和机器学习模型。
**关于这个** **_Roll*（职责）** **：**
- 运用包括数据挖掘、统计分析和机器学习在内的多样化专业知识，提供有影响力、客观且可操作的数据洞察，以支持业务和产品的决策
- 与跨职能团队（包括销售、市场和产品）合作，识别商业机会并开发数据驱动的解决方案，以推动增长和用户参与度
- 与业务部门合作，与产品经理、工程师和数据科学家协作，促进数据驱动的决策，产生重大影响
- 能够以口头、视觉和书面形式有效地向高级业务合作伙伴传达分析结果、见解和建议
- 在动态且快速发展的环境中茁壮成长
**你具备正确的** **_ingredients*（要求）** **吗？**
- 计算机科学、工程、数学、统计学、经济学或其它量化领域的学士学位；硕士优先
- 在产业环境中拥有 2 年以上数据科学经验
- 具备扎实的统计学和机器学习基础，熟悉机器学习概念（如回归/分类、聚类、离线/在线模型评估）
- 具备高级机器学习技术经验，包括监督和非监督学习、图算法、深度学习（如 NLP）、推荐系统和生成式 AI
- 熟悉 Python 和 SQL，以及机器学习框架（如 scikit-learn、Tensorflow、PyTorch）
- 具备云解决方案经验
查看英文原文
Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.
Toast is revolutionizing the way the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.
**_Bready*_** **to make a change?**
The Toast AI Engineering team is seeking a Data Scientist to embed data science capabilities into the Toast platform by partnering with engineers and product managers to develop statistical and machine learning models that power key product lines.
**About this** **_Roll* (Responsibilities)_** **:**
- Apply a diverse set of expertise including data mining, statistical analysis and machine learning to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
- Collaborate with cross-functional teams, including sales, marketing, and product, to identify business opportunities and develop data-driven solutions that drive growth and engagement.
- Partner with line of business teams and collaborate with product managers, engineers and data scientists to foster data-driven decisions that yield significant impacts
- Able to effectively communicate analysis, insights and recommendations to high-level business partners in verbal, visual and written formats
- Thrive in a dynamic and rapidly evolving environment
**Do you have the right** **_ingredients* (Requirements)_** **?**
- Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
- 2+ years of data science experience in an industry environment.
- Have solid statistical and machine learning foundations. Familiar with machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation).
- Experience with advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning (e.g., NLP), recommendation systems, and generative AI.
- Experience with Python and SQL, and ML frameworks (e.g. scikit-learn, Tensorflow, PyTorch)
- Experience with cloud solutions, preferably with AWS tooling (e.g. SageMaker, DynamoDB, Athena, Glue, etc.)
- Experience with model workflow orchestration tool (e.g. Airflow)
- Experience collaborating with engineers, product managers, and other cross-functional teams
- Excellent verbal and written communication skills
- Ability to communicate sophisticated quantitative analysis in a clear, precise, and actionable manner.
**Special Sauce* (Nice to Haves):**
- Experience working on LLM applications, including prompting, RAG, and evaluation.
- Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration.
- Experience shipping machine learning systems in production environments.
- Experience in A/B testing and other experimentation methodologies for effective product launch measurement.
**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-DNI
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. You can learn more about how we align pay with local labor markets in our [Geographic Pay Zone Philosophy](https://careers.toasttab.com/us-pay-zones).
Zone A
$112,000—$179,000 USD
Zone B
$97,000—$155,000 USD
Zone C
$87,000—$139,000 USD
**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._