Staff Data Scientist

🕒 July 8

🏄 California – Remote

🏄 California – Remote

💵 $170k - $272k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Toast

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🍽️ Food & Beverage

💼 Consulting

📦 Logistics

Food & Beverage • Consulting • Logistics

Toast is a technology company that specializes in providing integrated software and hardware solutions for the restaurant industry. Their offerings include a comprehensive restaurant management platform that features point of sale (POS) systems, payment processing, online ordering, payroll management, and various operational tools designed to streamline restaurant operations. Toast's platform is tailored to meet the needs of diverse restaurant types, including quick service, full service, fast casual, fine dining, cafes, and food trucks. They also provide resources like industry insights and educational materials to support restaurant success.

📋 Description

• Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. • Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. • Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. • Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. • Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. • Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. • Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

🎯 Requirements

• 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. • Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation. • Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions. • Experience with distributed data processing and training, real-time inference, and ML Ops frameworks • Prior experience mentoring other data scientists or acting as a tech lead. • Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems. • Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). • Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD. • Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock. • Excellent communication skills and the ability to influence both technical and non-technical stakeholders. • Strong business acumen with the ability to align technical solutions with company goals.

🏖️ Benefits

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development • bonuses • stock options • equipment allowances • wellness programs