Staff Data Scientist

Toast, Inc.

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $170,000–$272,000 / yr
Posted: 110 days ago
Freshness: Confirmed live today
Closes: Jan 22, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k

This role $221k

$117k $289k

below market most similar roles pay here above market

This role pays more than 74% of similar roles. Most pay $147,540–$223,775 — the blue band above. At the midpoint, this role pays about $221k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Toast, Inc.

Toast is a cloud-based restaurant management platform providing point-of-sale, payment processing, and operations software for the food service industry.

Toast, Inc. currently has 26 open roles on FindRole.

Listed pay typically runs $193,000–$309,000 across 26 roles with salary data.

Most-posted roles

View all roles at Toast, Inc.

At a glance

TL;DR · Staff Data Scientist

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As a Staff Data Scientist, you will lead the design and development of scalable machine learning systems to support menu recommendations, demand forecasting, offer targeting, and guest personalization. You will own the full machine learning lifecycle, from problem framing and data exploration to modeling, deployment, and monitoring. Your daily work involves designing advanced statistical models, mentoring other data scientists, and setting architectural standards for productionization. You will utilize Python, SQL, and frameworks such as scikit-learn, PyTorch, and TensorFlow. Technical requirements include experience with distributed data processing, real-time inference, and cloud platforms like AWS, specifically SageMaker, Athena, Glue, DynamoDB, and Bedrock. You will also build services on top of LLMs to solve complex business problems and improve operational efficiency for restaurant technology.

What does a Data Scientist earn in Remote?

Median $216300 from 36 postings across 16 companies.

See salary data

Skills

Python SQL AWS PyTorch TensorFlow scikit-learn MLOps LLMs SageMaker Athena Glue DynamoDB Bedrock CI/CD Deep Learning Time Series A/B testing Causal Inference RLHF Distributed Data Processing

What you'll do

Own the full machine learning lifecycle from problem framing and data exploration to deployment and monitoring.
Design and implement advanced ML and statistical models to improve product performance and customer insights.
Guide architectural decisions and set modeling standards for experimentation, validation, and productionization.
Mentor other data scientists through design reviews, feedback, and sharing domain expertise.
Identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities.
Build services on top of LLMs in a large-scale production environment.
Translate ambiguous business problems into well-scoped ML solutions and success metrics.

What we're looking for

7+ years of experience in data science delivering production ML systems.
Deep knowledge of statistical modeling, machine learning, and model evaluation.
Experience with distributed data processing, real-time inference, and ML Ops frameworks.
Prior experience mentoring other data scientists or acting as a tech lead.
Experience leading experimentation, causal inference, and real-time decision systems.
Proficiency in Python, SQL, and ML frameworks like scikit-learn, PyTorch, or TensorFlow.
Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD.
Hands-on experience with cloud platforms (preferably AWS) and an advanced degree in a STEM field (preferred).

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