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. Toast is revolutionizing the way the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive. This role is for a current vacancy. Bready* to make a change? The Toast AI Engineering team is seeking a Data Scientist to embed data science capabilities into the Toast platform by partnering with engineers and product managers to develop statistical and machine learning models that power key product lines. 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)? - Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred. - 2+ years of data science experience in an industry environment. - Have 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. Special Sauce* (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. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy 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. 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. Pay Range $110,000—$136,000 CAD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Role Description To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with product owners, business partners, and other Data Scientists to define the technical problem statement and the hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions. Key Responsibilities - Design & implementation of AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization. - Develop high‑quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing with established frameworks and stores to maximize retrieval performance. - Technically evaluate novel technology to help inform on the best effort/improvement tradeoffs. - Quickly learn and iterate with novel technologies/procedures, particularly but not exclusively around generative AI. - Responsible for monitoring and improvement of model performance metrics and recommendations with feedback incorporated from business partners. - Implement appropriate generative AI techniques and technologies to solve business problems, including prompt and LLM fine-tuning, RAG, agentic workflows, and tool designs. - Help business stakeholders translate their objectives into measurable outcomes. - Apply critical thinking to frame business needs into statistical problems and develop solutions that balance technical completeness/complexity and timely value delivery. - Be a storyteller to explain the ‘why and how’ of your recommendations to build trust in your solutions. - Have passion to advocate and educate on the value and importance of data-driven decision-making and analytical methods. - Identify and develop long-term data science processes, frameworks, tools, and standards. - Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists. Qualifications - Bachelor’s degree in data science, Computer Science, Engineering, Math, Statistics or other related fields. - 6+ years of relevant experience with at least 2 years of relevant experience in Data Science. - Strong foundation of statistical reasoning and critical thinking, with a proven track record of effectively finding solutions to stakeholder problem statements. - Experience with Python, including some exposure to package development and foundational programming principles. - Some experience with generative AI concepts, including embeddings, LLMs, agents, and RAG. - Experience writing complex SQL queries. - Understanding data warehousing and complex databases. - Experience with machine learning and data visualization tools. - Number sense, ability to identify questionable data, dig in and address it. - Strong communication and collaboration skills to understand business needs, frame problems in familiar language (without compromising statistical fidelity), and present solutions that clearly translate to business value. Preferred Qualifications - Experience developing and deploying Python packages and managing large-scale projects. - Experience developing/deploying generative AI technology, including agents, RAG, or similar. - Experience with Google Cloud Platform or similar technology. - Applied experience in consumer goods/supply chain. - Master’s degree in data science, Computer Science, Engineering, Math, or Statistics preferred. Additional Considerations - Applicants for this position must be currently authorized to work in the United States on a full-time basis, and General Mills will not sponsor applicants for this position for work visas. Salary Range The salary range for this position is $110800.00 - $184800.00 / Annually. At General Mills, we strive for each employee's pay at any point in their career to reflect their experiences, performance, and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including individual and organizational performance. Reasonable Accommodation Request If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request.

• Develop analyses, Machine Learning models, and solutions using Generative AI; • Participate in building applications based on LLMs, such as RAG solutions, internal assistants, automations, and text classification; • Perform data exploration, hypothesis definition, model evaluation, and generate business insights; • Support deployment and monitoring of models and analytical solutions in production environments; • Collaborate with data engineers, product teams, and business areas to translate problems into data-driven solutions; • Document analyses, models, experiments, and key technical decisions.

• Develop and implement AI agents (assistants, copilots, and intelligent automations) for different areas of the company. • Structure interaction flows and the decision logic of agents, ensuring the quality and consistency of responses. • Integrate AI models with corporate data, APIs, and internal systems. • Conduct testing, tuning, and continuous improvements — prompt engineering, model tuning, and performance evaluation. • Support the evolution of solutions based on LLMs and NLP, ensuring alignment with business use cases. • Collaborate with Tech Leads, Delivery, CX & AI, and AI Enablement to ensure alignment between technology, experience, and delivered value. • Monitor agents’ performance and usage, proposing continuous improvements. • Follow governance, security, and responsible AI usage guidelines.