Data Scientist II

Toast, Inc.

Hybrid

Quick summary

Work type: Hybrid
Location: Boston, MA
Salary: $112,000–$179,000 / yr
Posted: 4 days ago
Closes: Sep 14, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k

This role $146k

$97k most similar roles pay here $233k

This role pays less than 65% of similar roles. Most pay $126,800–$201,500 — the shaded band above. At the midpoint, this role pays about $146k versus about $164k 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 37 open roles on FindRole.

Listed pay typically runs $179,000–$286,500 across 36 roles with salary data.

Most-posted roles

View all roles at Toast, Inc.

At a glance

TL;DR · Data Scientist II

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Toast's AI Engineering team is hiring a Data Scientist II to embed data science capabilities into the Toast platform, working closely with engineers and product managers to develop statistical and machine learning models that power key product lines. This role involves applying expertise in data mining, statistical analysis, and machine learning to deliver actionable insights for business decisions, collaborating with cross-functional teams to identify opportunities and drive growth through data-driven solutions. The ideal candidate has a background in quantitative fields such as computer science or statistics, 2+ years of industry experience, proficiency in Python, SQL, and ML frameworks like scikit-learn and TensorFlow, and familiarity with AWS cloud tools. They should also excel at communicating complex analyses to stakeholders and thrive in a dynamic environment.

Skills

Python SQL scikit-learn Tensorflow PyTorch AWS SageMaker DynamoDB Athena Glue Airflow CI/CD Git Shell Scripting Task Orchestration LLM Applications RAG Prompting AB Testing

What you'll do

Develop statistical and machine learning models to power key product lines.
Identify business opportunities by collaborating with cross-functional teams.
Foster data-driven decisions that yield significant impacts across the organization.
Communicate analysis, insights, and recommendations in clear, actionable formats.
Apply advanced machine learning techniques such as deep learning and NLP.

What we're looking for

2+ years of data science experience in an industry environment.
Strong foundation in statistical analysis and machine learning concepts.
Proficiency with Python, SQL, and ML frameworks like scikit-learn, TensorFlow, PyTorch.
Experience with cloud solutions, preferably AWS tools (SageMaker, DynamoDB).
Excellent communication skills to convey quantitative insights effectively.

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