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Staff Data Scientist

Pay
CAD 127,000–203,000/yearAnnual period assumed — pay source
Pay Range $127,000—$203,000 CAD How Toast Uses AI in its Hiring Process
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Own the full ML lifecycle from problem framing to monitoring

  • Design and implement advanced ML and statistical models

  • Define project scope, success metrics and integration strategy with engineers and product managers

  • Set modeling standards and best practices for experimentation and productionization

  • Mentor data scientists through design reviews and feedback

From the employer’s posting
Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring
Design and implement advanced ML and statistical models that improve product performance
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.
Apply at Toast

Posting record

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Open 4 monthsWe first saw this posting 122 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 8, 2026122 days ago
Recorded sightings
303
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 122

Up longer than most. Similar jobs usually come down between day 7 and day 57.

Well past Toast’s usual: its jobs come down by about day 36.

From 10,558 similar postings that came down, and 17 of Toast’s. Coming down is not always a hire.

Toast is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • DynamoDB
  • SageMaker
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- 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.
- 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.

Your next step

Complete your application on careers.toasttab.com. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has Toast posted this job before?

Yes. We’ve followed one other Staff Data Scientist job there since July 2026. It is still up.

  1. Place not statedStill up after 122 days, first seen Jul 8
  2. This jobUp 122 days so far, first seen Jul 8

About Toast

People
About 6,500 in 2025, up 14% from the year before.Annual report (SEC Form 10-K)
Company
Listed as TOST.
H-1B visas
9 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

#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

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

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.

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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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Pay
Pay Range $127,000—$203,000 CAD How Toast Uses AI in its Hiring Process
Location & working pattern

Canada

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. #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.
More source context
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 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 People Are the Secret Ingredient in Our Recipe for Success
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