Senior Data Scientist

Summary

Join Toast as a Senior Data Scientist and leverage machine learning and statistical modeling to solve real-world business problems. Lead the development of production-grade ML models, collaborating with cross-functional teams to improve customer experience and drive growth. Design, monitor, and evaluate model performance using rigorous testing methods. Translate complex insights into actionable recommendations for stakeholders. Thrive in a fast-paced environment with a strong ownership mindset. The role requires 3+ years of experience in data science and proficiency in Python, SQL, and various ML libraries. A competitive salary and benefits package are offered.

Requirements

• 3+ years of experience in data science, with strong foundations in statistical analysis and machine learning
• Proven experience independently driving ML projects end-to-end—from data wrangling and modeling to deployment and monitoring
• Strong experience with regression, classification, time series, clustering, and model evaluation techniques
• Familiarity in LLMs, and their applications in real-world systems
• Proficient in Python, SQL, and commonly used ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
• Experience with cloud platforms and tools, especially AWS (e.g., SageMaker, Athena, DynamoDB, Glue, Bedrock)
• Working knowledge of software engineering best practices, including object-oriented programming, testing, CI/CD, and version control
• Strong communication skills, with the ability to align technical solutions with business impact and explain complex ideas to diverse audiences

Responsibilities

• Apply advanced techniques in data mining, statistical modeling, and machine learning to solve real-world business problems and influence strategic decisions
• Lead development of production-grade ML models and partner closely with MLEs to ensure scalable, robust deployment
• Collaborate with cross-functional teams across sales, marketing, product, and engineering to identify opportunities and deliver data-driven solutions that improve customer experience and drive growth
• Design, monitor, and evaluate model performance using rigorous offline and online testing methods
• Translate complex quantitative insights into clear, actionable recommendations for technical and non-technical stakeholders
• Thrive in a fast-paced environment with a strong ownership mindset and a bias toward iteration and learning

Preferred Qualifications

• An advanced degree in Computer Science, Statistics, or a related STEM field is preferred
• Experience running A/B tests or online experiments to evaluate product and model impact
• Familiarity with distributed training, real-time inference, and ML Ops frameworks
• Experience building and optimizing recommendation systems or personalization pipelines
• Prior exposure to GenAI applications or LLM API integration

Benefits

• Competitive compensation and benefits programs
• Cash compensation (overtime, bonus/commissions, if eligible)
• Benefits
• Equity (if eligible)