Data Scientist II

About the Role

The Toast AI Engineering team is seeking a Data Scientist to embed data science capabilities into the Toast platform by partnering with engineers and product managers to develop statistical and machine learning models that power key product lines.

Responsibilities

• Apply a diverse set of expertise including data mining, statistical analysis and machine learning to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.
• 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.
• 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.

Requirements

• Bachelor's in computer science, engineering, math, statistics, economics, or other quantitative discipline; Master's preferred.
• 2+ years of data science experience in an industry environment.
• Solid statistical and machine learning foundations (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 tools (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 clearly and precisely.

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, and task orchestration.
• Experience shipping machine learning systems in production environments.
• Experience in A/B testing and other experimentation methodologies for effective product launch measurement.

Interview Process Note

Toast uses AI tools for note-taking and summarization in hiring. All hiring decisions are made by people. Candidates are expected to complete interviews and assessments independently, without real-time AI tools or transcription bots.