Senior Data Scientist

Remote, US

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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.

At Toast, we’re passionate about empowering restaurants—today and into the future. Our mission is to help them adapt, grow, and thrive through purpose-built technology.

Bready* to make a change?

We’re looking for a Senior Data Scientist to drive machine learning and statistical modeling across a wide range of applications, including menu and offer recommendation, time series forecasting, and customer personalization. You’ll work at the intersection of data, product, and engineering to design, build, and deploy scalable ML solutions that directly impact our customers.

About this Roll*:

  • Apply advanced techniques in data mining, statistical modeling, and machine learning to solve real-world business problems and influence strategic decisions.
  • Lead development of production-grade ML models and partner closely with MLEs to ensure scalable, robust deployment.
  • Collaborate with cross-functional teams across sales, marketing, product, and engineering to identify opportunities and deliver data-driven solutions that improve customer experience and drive growth.
  • Design, monitor, and evaluate model performance using rigorous offline and online testing methods.
  • Translate complex quantitative insights into clear, actionable recommendations for technical and non-technical stakeholders.
  • Thrive in a fast-paced environment with a strong ownership mindset and a bias toward iteration and learning.

Do you have the right ingredients*?

  • 3+ years of experience in data science, with strong foundations in statistical analysis and machine learning.
  • Proven experience independently driving ML projects end-to-end—from data wrangling and modeling to deployment and monitoring.
  • Strong experience with regression, classification, time series, clustering, and model evaluation techniques.
  • Familiarity in LLMs, and their applications in real-world systems.
  • Proficient in Python, SQL, and commonly used ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
  • Experience with cloud platforms and tools, especially AWS (e.g., SageMaker, Athena, DynamoDB, Glue, Bedrock).
  • Working knowledge of software engineering best practices, including object-oriented programming, testing, CI/CD, and version control.
  • Strong communication skills, with the ability to align technical solutions with business impact and explain complex ideas to diverse audiences.

Bonus ingredients*:

  • An advanced degree in Computer Science, Statistics, or a related STEM field is preferred.
  • Experience running A/B tests or online experiments to evaluate product and model impact.
  • Familiarity with distributed training, real-time inference, and ML Ops frameworks.
  • Experience building and optimizing recommendation systems or personalization pipelines.
  • Prior exposure to GenAI applications or LLM API integration.

Our Spread* of Total Rewards
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.

*Bread puns encouraged but not required

The 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$122,000—$195,000 USD

 

Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

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 restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

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.

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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.

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Category: Data Science Jobs

Tags: A/B testing APIs Athena AWS CI/CD Classification Clustering Computer Science CX Data Mining DynamoDB Engineering Generative AI LLMs Machine Learning ML models OOP Pipelines Python PyTorch SageMaker Scikit-learn SQL Statistical modeling Statistics STEM TensorFlow Testing

Perks/benefits: Career development Competitive pay Equity / stock options Salary bonus

Regions: Remote/Anywhere North America
Country: United States

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