Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Toast is looking for a Senior Data Scientist to bring data science capabilities into the Toast platform. You will work with engineers and product managers to build statistical and machine learning models for product lines, such as sales recommendation and Toast product package recommendation.

About this roll* (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.

Do you have the right ingredients*? (Requirements)

• 5+ years of data science experience, with a focus on sales and marketing.
• Have solid statistical foundations.

• Familiar with standard machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation) and eager to learn new concepts and techniques (e.g. NLP and LLM)
• Experience with cloud solutions, preferably with AWS tooling (e.g. SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience with Python and SQL, and ML frameworks (e.g. scikit-learn, Tensorflow, PyTorch)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration
• 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

Bonus ingredients*:

• Experience shipping machine learning systems in production environments 
• Experience working with sales teams on data science projects
• Experience with advanced machine learning methods, particularly in natural language processing applications; such as supervised/unsupervised learning, graph algorithms, deep learning, recommendation systems, etc.

Our Spread* of Total Rewards
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

*Bread puns encouraged but not required

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