Data Scientist II

Summary

Join Toast's AI Engineering team as a Data Scientist to embed data science capabilities into the Toast platform. Collaborate with engineers and product managers to develop statistical and machine learning models for key product lines. Apply expertise in data mining, statistical analysis, and machine learning to deliver actionable data insights. Partner with cross-functional teams to identify business opportunities and develop data-driven solutions. Effectively communicate analysis and recommendations to business partners. Thrive in a dynamic and fast-paced environment. The role requires a Bachelor's degree in a quantitative discipline (Master's preferred), 2+ years of data science experience, and proficiency in Python, SQL, and ML frameworks. The ideal candidate will have experience with advanced machine learning techniques and cloud solutions.

Requirements

• 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

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
• 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

Preferred Qualifications

• 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

Benefits

• We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry
• Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs
• Cash compensation (overtime, bonus/commissions, if eligible)
• Benefits
• Equity (if eligible)