Tech Stack
Machine LearningStatistical ModelingPythonSQLScikit-LearnPytorchTensorflowAWSSagemakerAthenaGlueDynamoDBBedrockVersion ControlTestingCI/CDReal-Time Decision SystemsMlopsLlmsReinforcement Learning
Solid badges = required, outlined = preferred
Responsibilities
- Own the full machine learning lifecycle from problem framing to deployment and monitoring for mission-critical initiatives.
- Design and implement advanced ML and statistical models to 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.
Soft Skills
Software Engineering PrinciplesModular DesignCross-Functional CollaborationStakeholder ManagementTeam LeadershipMentoringTechnical Decision-MakingProject ManagementA/B TestingCausal Inference
Benefits
- 401k
- Dental
- Disability Insurance
- Equity
- Flexible Hours
- HSA/FSA
- Health Insurance
- Life Insurance
- Mental Health
- Parental Leave
- Remote Work
- Vision
Culture
Mission-DrivenCustomer-ObsessedInnovationCross-Functional TeamsMentorship ProgramInclusive HiringPay Transparency
Requirements
Preferred: Advanced degree in Computer Science, Statistics, or a related STEM field
Regions: Us
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About Toast
Industry: fintech
Size: enterprise
Toast creates technology to help restaurants and local businesses succeed by providing tools to operate, increase sales, engage customers, and keep employees happy.
View company profile →Compensation
Base salary: $133,000 – $272,000 USD
Equity: equity
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