Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We’re passionate about empowering restaurants—today and into the future. Our mission is to help them adapt, grow, and thrive through purpose-built technology. As a Senior Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. A day in the life (Responsibilities) - Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. - Design and implement advanced ML and statistical models that 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. - Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. - Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (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 (e.g., tree-based models, time series, deep learning), and model evaluation. - 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 (e.g., A/B testing), causal inference, and real-time decision systems. - Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, 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 tools like 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. Bonus ingredients*: - An advanced degree in Computer Science, Statistics, or a related STEM field is 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. 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 and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range $122,000—$195,000 USD 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. 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.

• Apoio Técnico em Vendas: Participar de reuniões estratégicas com objetivo de realizar demonstrações das funcionalidades da solução, bem como oferecer esclarecimentos técnicos e de arquitetura do software, segurança de dados e modelos de integração (API/Cloud). • Arquitetura de Solução: Entender as dores do cliente e desenhar a solução ideal, propondo customizações viáveis que agreguem valor sem comprometer a integridade do produto. • Interface com Produto/Dev: Traduzir as demandas coletadas em campo para o time de desenvolvimento através de User Stories detalhadas e critérios de aceite. • Suporte Consultivo: Atuar em casos complexos de suporte onde a dúvida do cliente envolva o funcionamento lógico ou técnico da plataforma. • Elaboração de Propostas: Colaborar com o comercial na montagem de escopos técnicos para propostas de customização.

🚗 Why Jerry.ai - Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) - Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain - Disrupt a massive market and take us to a $10B business in the next few years - Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article - Be immersed in a talent-dense environment and greatly accelerate your career growth - Impact millions of users experience with car maintenance and auto insurance 💻 About the opportunity We are looking for a detail-obsessed Applied Data Scientist to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions. This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis. 🫵 How you will make an impact - Model Ownership: Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges - Data Quality: Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies - Problem Investigation: Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy - Cross-Functional Collaboration: Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models - Documentation: Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions 🔎 Who You Are - Obsessed with Details: You have an exceptional eye for detail and a low tolerance for errors. You believe that accuracy and precision are non-negotiable - A Strategic Thinker: You can see the bigger picture and are passionate about building robust systems and processes that will stand the test of time - Proactive & Persistent: You don't wait for problems to find you. You actively seek out data quality issues and are persistent in seeing an investigation through to its resolution. - Curious & Adaptive: You are inherently curious and possess a strong desire to understand how things work. You're comfortable with ambiguity and skilled at breaking down complex problems 🚀 Requirements - Education: Bachelor’s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.) - Programming: Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation - Data Quality: Hands-on experience with data cleaning techniques and data validation frameworks - Tooling: Familiarity with data visualization tools to help identify and communicate data issues While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Job Description Join the growing Ontada team, backed by a Fortune 8 company, and help transform oncology care. Ontada develops technologies that support oncology providers in delivering evidence‑based, personalized care and provides insights that help biopharma accelerate drug development, optimize clinical trials, support treatment decisions, and guide commercial strategies. We are seeking a self‑motivated, collaborative, and detail‑oriented Data Scientist to support our Data Science & Analytics team in delivering high‑quality data and insights to Life Sciences customers. Position Summary Ontada leverages deep expertise in data science, analytics, and real‑world clinical data to deliver clinical data products and insights across the drug development and commercialization lifecycle. Our work helps Life Science partners understand markets, demonstrate value, inform decisions, and evaluate real‑world treatment effectiveness. The Data Scientist will work with complex business questions using our in‑house EMR/EHR data. Responsibilities include data preparation, analysis, quality assurance, and maintaining analytical tools and pipelines. This role involves acquiring and validating raw data, performing analyses, contributing to tooling improvements, and producing both mock‑up and production‑ready deliverables. Success requires strong analytical skills, experience with longitudinal patient‑level data, and excellent communication abilities. Key Responsibilities - Apply analytical rigor to longitudinal patient‑level data, synthesizing business rules, methods, and client objectives with limited oversight. - Create clear, compelling materials that communicate insights from clinical data and present findings to both technical and business audiences. - Build reproducible analytical workflows and advanced algorithms in Databricks (PySpark and SQL) to prepare and analyze large‑scale healthcare datasets (EHR, medical/pharmacy claims, RWD). - Ensure accuracy and customer readiness by delivering high‑quality datasets and reports that meet exact specifications and highlight meaningful insights. - Contribute to quality and consistency through self‑review and peer review of methodologies, code, and deliverables. - Manage multiple projects in a fast‑paced environment while maintaining strong analytical and documentation standards. - Develop data visualizations and dashboards to communicate trends and enable data‑driven decision‑making for clients. Minimum Requirements - Bachelor’s / Master’s degree, with a focus in Data and Analytics, Information Sciences, Healthcare, Statistics, Computer Science or related fields strongly preferred - 3+ years of experience of relevant experience - Able to work Central Time Zone hours Critical Skills Communication & Stakeholder Engagement: Strong interpersonal, written, and verbal communication skills with experience collaborating across cross‑functional teams and presenting insights to diverse audiences. Able to clearly explain complex data issues. Experience gathering and documenting requirements is a plus. Healthcare Analytics Expertise (3+ years): Hands‑on experience analyzing large real‑world healthcare datasets (EHR/EMR, medical and pharmacy claims, labs, etc.) and translating complex findings into clear, actionable insights. Solid understanding of treatment pathways, patient journeys, and real‑world evidence (RWE) analysis. Advanced Programming: At least 2 years of practical experience with Python, PySpark, and SQL in Databricks or similar cloud analytics platforms to build and deploy repeatable, production‑ready data pipelines. SAS experience is a plus. Data Preparation & Quality Management: Skilled in data wrangling, cleansing, transformation, and preparation for final data lock, ensuring accuracy, reproducibility, and adherence to quality standards. Strong grasp of real‑world data nuances and limitations. Independent & Proactive Work Style: Self‑starter who delivers high‑quality work with minimal supervision in a fast‑paced environment. Collaboration & Team Effectiveness: Able to work independently and collaboratively while contributing positively to team goals. Curiosity & Problem Solving: Demonstrates intellectual curiosity and creativity in solving ambiguous analytical challenges. Precision & Attention to Detail: Strong commitment to analytical accuracy, documentation, and reproducibility. Continuous Learning: Motivated to stay current with emerging analytical methods, tools, and industry trends. Core Productivity Tools: Proficient in Microsoft Word, Excel, and PowerPoint for documentation and presentations. Additional Preferred Skills - Experience in healthcare or life sciences consulting or analytics roles within biopharma. - Oncology experience. - Experience within EMR, CRO, or transaction‑processing environments. Work Authorization Requirement At this time, we can only consider applicants who are legally authorized to work in the United States and who do not require current or future sponsorship for employment visas. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $109,900 - $183,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com. McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com. Join us at McKesson!