Data Scientist II
About the role
The Toast AI Engineering team is seeking a Data Scientist to embed data science capabilities into the Toast platform.
Responsibilities
- Apply a diverse set of expertise including data mining, statistical analysis and machine learning to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
- Collaborate with cross-functional teams, including sales, marketing, and product, to identify business opportunities and develop data-driven solutions that drive growth and engagement
- Partner with line of business teams and collaborate with product managers, engineers and data scientists to foster data-driven decisions that yield significant impacts
- Able to effectively communicate analysis, insights and recommendations to high-level business partners in verbal, visual and written formats
- Thrive in a dynamic and rapidly evolving environment
Requirements
- Bachelor's degree in computer science, engineering, math, statistics, economics, or other quantitative discipline; Master's preferred
- 2+ years of data science experience in an industry environment
- Solid statistical and machine learning foundations
- Familiar with machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation)
- Experience with advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning (e.g., NLP), recommendation systems, and generative AI
- Experience with Python and SQL, and ML frameworks (e.g. scikit-learn, Tensorflow, PyTorch)
- Experience with cloud solutions, preferably with AWS tooling (e.g. SageMaker, DynamoDB, Athena, Glue, etc.)
- Experience with model workflow orchestration tool (e.g. Airflow)
- Experience collaborating with engineers, product managers, and other cross-functional teams
- Excellent verbal and written communication skills
- Ability to communicate sophisticated quantitative analysis in a clear, precise, and actionable manner
Nice to Haves
- Experience working on LLM applications, including prompting, RAG, and evaluation
- Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration
- Experience shipping machine learning systems in production environments
- Experience in A/B testing and other experimentation methodologies for effective product launch measurement
Special Sauce
- Experience in AI and its applications
Benefits
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
- Zone A: $112,000—$179,000 USD
- Zone B: $97,000—$155,000 USD
- Zone C: $87,000—$139,000 USD
Pay
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
- Zone A: $112,000—$179,000 USD
- Zone B: $97,000—$155,000 USD
- Zone C: $87,000—$139,000 USD
Schedule
Our approach to hybrid working allows for in-person collaboration while valuing individual needs.