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Staff Data Scientist

1 hour, 13 minutes 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

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 29

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

Apply Now

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