Toast

Toast is an all-in-one platform for restaurants, offering tableside ordering, online ordering, and labor management to empower businesses in the food service industry.

Hotels, Restaurants & Leisure

Consumer Discretionary

1K-5K (4500)

Founded 2012

9 open positions

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Staff Data Scientist

2 months, 3 weeks ago

United States

Full-time

Lead

Data Scientist

Data Science and Analytics

AWS CI/CD Deep Learning DynamoDB Git LLM Machine Learning MLOps Python PyTorch SageMaker Scikit-learn SQL TensorFlow

Apply Now

Toast

Toast is an all-in-one platform for restaurants, offering tableside ordering, online ordering, and labor management to empower businesses in the food service industry.

Hotels, Restaurants & Leisure

1K-5K

Founded 2012

View All Jobs 9

Description

Own the full machine learning lifecycle for mission-critical initiatives, from problem framing and data exploration through modeling, deployment, and monitoring.
Design and implement advanced machine learning and statistical models that improve product performance, operational efficiency, and 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 through design reviews, feedback, and sharing domain expertise.
Identify opportunities where data science can create business value and lead cross-functional efforts to pursue them.
Use cutting-edge AI tools to improve development workflow, velocity, and innovation 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, and model evaluation, including tree-based models, time series, and deep learning.
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, including A/B testing, causal inference, and real-time decision systems.
Proficiency in Python and SQL, with experience using ML frameworks such as scikit-learn, PyTorch, or 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 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.
Advanced degree in Computer Science, Statistics, or a related STEM field preferred.
Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability.
Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment.

Benefits

Base salary range of $170,000-$272,000 USD in Zone A, $148,000-$237,000 USD in Zone B, or $133,000-$213,000 USD in Zone C.
Total rewards may include cash compensation such as overtime, bonus/commissions if eligible, equity, and benefits.
Competitive compensation and benefits programs.
Hybrid work model with in-person collaboration and flexibility to meet individual needs.
Support for a healthy lifestyle and flexibility to meet changing needs.
Accessible and inclusive hiring process with reasonable accommodations available for candidates with disabilities.

Interested in this position?

Apply directly on the company website

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