Staff Data Scientist

📋 Description

• Own the full ML lifecycle—from problem framing to deployment and monitoring.
• Design and implement ML and statistical models to improve product performance.
• Collaborate with engineers, PMs, and stakeholders to define scope and metrics.
• Guide architecture decisions and modeling standards; champion experiments.
• Mentor data scientists and raise the technical bar through reviews.
• Identify data-science value areas and lead cross-functional initiatives.

🎯 Requirements

• 5+ years of experience in data science delivering production ML systems with impact.
• Deep knowledge of statistical modeling and ML (tree-based, time series, DL) and evaluation.
• Experience with real-world product data at scale and turning problems into ML solutions.
• Experience with distributed data processing, real-time inference, and MLOps.
• Proficiency in Python and SQL, plus ML frameworks (scikit-learn, PyTorch, TensorFlow).
• Hands-on with cloud platforms (AWS) and tools like SageMaker.

🎁 Benefits

• Equity and comprehensive benefits.
• Hybrid work model with in-person collaboration; see Locations page.
• Diversity, equity, and inclusion baked into our culture.
• Benefits details at https://careers.toasttab.com/toast-benefits.
• Hybrid/remote-friendly culture with flexible work arrangements.