Toast
Staff Data Scientist
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 2 weeks ago · Added 2 days ago
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
$170,000 to $272,000
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Lead
Category
Data
Stated by the employer in the job description
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote, USA, Field Position - USA"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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)
7+ 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.
Experience building services on top of LLMs in a large scale production environment.
Bonus ingredients* :
Requirements
- ·7+ 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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Toast, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$170,000 to $272,000 · You'll be taken to the employer's careers page.