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# Data Scientist II

- **Company:** Toast Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $112,000.0 - $179,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Airflow, Amazon Web Services, Continuous Integration, Amazon DynamoDB, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Recommender Systems, Cloud Services, Tensorflow, Shell Script, Software Construction, SQL Databases, Test-Driven Development (TDD), Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Model Validation, Generative AI, Git, Scikit Learn, Information Technology, Machine Learning Operations, Unsupervised Learning
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/d6ba94d2-8f1c-42cc-b175-4d2df9d032ed

## About the Role

* Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
 * 2+ years of data science experience in an industry environment.
 * Have solid statistical and machine learning foundations. Familiar with machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation).
 * Experience with advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning (e.g., NLP), recommendation systems, and generative AI.
 * Experience with Python and SQL, and ML frameworks (e.g. scikit-learn, Tensorflow, PyTorch)
 * Experience with cloud solutions, preferably with AWS tooling (e.g. SageMaker, DynamoDB, Athena, Glue, etc.)
 * Experience with model workflow orchestration tool (e.g. Airflow)
 * Experience collaborating with engineers, product managers, and other cross-functional teams
 * Excellent verbal and written communication skills
 * Ability to communicate sophisticated quantitative analysis in a clear, precise, and actionable manner.

Special Sauce* (Nice to Haves):

 * Experience working on LLM applications, including prompting, RAG, and evaluation.
 * Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration.
 * Experience shipping machine learning systems in production environments.
 * Experience in A/B testing and other experimentation methodologies for effective product launch measurement.

## Description

* Collaborate with cross-functional teams, including sales, marketing, and product, to identify business opportunities and develop data-driven solutions that drive growth and engagement.
 * Partner with line of business teams and collaborate with product managers, engineers and data scientists to foster data-driven decisions that yield significant impacts
 * Able to effectively communicate analysis, insights and recommendations to high-level business partners in verbal, visual and written formats
 * Thrive in a dynamic and rapidly evolving environment