Staff Data Scientist

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app. We build products that help guests find the inventory most relevant to them in our marketplace. The Difference You Will Make: As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals.  This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app. The ideal candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business success. Your efforts towards personalized content discovery will help make Airbnb feel tailored for you, maintaining a dialogue with our guests to deeply understand their preferences and reflect that understanding back to them, enabling every guest to easily discover the travel they will love.   A Typical Day: * Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets. * Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions. * Build: Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits * Evaluate: Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to own a high bar over continuous impact. * Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables. * If you’re passionate about going deep into personalized user experiences, we want to hear from you! Your Expertise: * Causal inference expertise with marketplace experience * Preferred domain experience in search, UX discovery, personalized evidence systems * Advanced degree in Computer Science, Statistics, Econometrics or related field. * 9+ years of industry experience with a PhD (or 12+ years with a Masters) * Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience. * Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems. * Proven ability to succeed in both collaborative and independent work environments * Demonstrated willingness and track record of engagement with the technical community   Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $224,000—$280,000 USD

Toast

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. The Machine Learning Platform team builds and operates the core infrastructure that powers ML across Toast — the feature store, model hosting and serving, the experimentation platform, training pipelines, and the tooling ML engineers and data scientists rely on every day. Our work directly enables the models that drive personalization, forecasting, fraud detection, search, and the growing set of AI-powered experiences shipping to restaurants. Toast is seeking a Staff Software Engineer to act as a technical leader on the ML Platform team, shaping the systems that will carry Toast's ML capabilities into the next decade. The role involves driving architectural direction across the platform, delivering foundational infrastructure that other teams build on, and elevating fellow engineers. The ideal candidate is a domain expert who partners with ML engineers, data scientists, product, and infrastructure leadership on high-leverage opportunities. This position suits an engineer comfortable writing production code, leading technical design for distributed systems, and influencing organizational decisions about how Toast builds and deploys ML. A day in the life (Responsibilities) * Own technical direction of the ML Platform — feature store, model hosting and serving, experimentation, training infrastructure — driving architectural decisions around scalability, reliability, latency, and cost * Lead design and delivery of large-scope platform initiatives from conception through production, coordinating across ML, data, and infrastructure teams * Identify and resolve systemic technical challenges: online/offline feature parity, model deployment friction, experimentation velocity, GPU utilization, cross-team dependencies * Set and maintain a high engineering quality bar through hands-on code contributions, design reviews, and mentorship of platform and ML-adjacent engineers * Partner with ML engineering, data science, product, and platform leadership to translate ML strategy into technical roadmaps * Define the paved paths ML teams use to ship models safely — from feature registration through canary rollout, monitoring, and rollback * Leverage AI-augmented development tools to increase development velocity and code quality What you'll need to thrive (Requirements): * 8+ years delivering complex backend or infrastructure systems at scale * Direct experience building or operating core ML infrastructure — feature stores, model serving, experimentation platforms, training orchestration, or equivalent * Mastery of a modern backend language such as Python, Java, Kotlin, Go, or Scala * Deep proficiency with distributed systems concepts: consistency, latency, throughput, fault tolerance, and observability * Strong understanding of data modeling, query languages, and the online/offline data patterns that underpin ML systems * Demonstrated technical leadership, with ability to drive cross-team alignment and influence engineering, product, and business stakeholders * Bachelor's degree in Computer Science or a related field, or equivalent practical experience Nice to Haves: * Hands-on experience with open-source or commercial ML platform components (e.g. Tecton, MLflow, SageMaker, Databricks) * Experience building or operating experimentation / A-B testing platforms at scale * Familiarity with real-time streaming systems (Kafka, Flink, Spark Streaming) and their use in feature computation * Experience serving LLMs or large deep-learning models in production, including GPU capacity planning and inference optimization * Comfort with Kubernetes and modern cloud-native infrastructure * Prior work supporting internal-developer-facing platforms with a product mindset 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. #LI-REMOTE 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 $193,000—$309,000 USD Zone B $168,000—$269,000 USD Zone C $151,000—$242,000 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. 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.

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. STAFF FULLSTACK ENGINEER - DATA PRODUCTS AN OVERVIEW OF THIS ROLE As a Staff Fullstack Engineer - Data Products, you will help build GitLab's in-product insights on top of the Data Insights Platform and the GitLab Knowledge Graph. You will be the technical anchor across reporting dashboards, inbound graph ingestion, and outbound data delivery, helping turn software delivery data into reliable and actionable intelligence for customers and internal teams. This is a strong fit if you want to work in a 0 to 1 space where you can shape what gets built, make early architectural choices, and guide work from specification through production health. In this role, you will provide technical guidance across your domain, partner closely with Product, Design, and backend teams, and own outcomes across GitLab.com, Dedicated, and Self-Managed environments as we build out this area. WHAT YOU’LL DO * Architect how GitLab and third-party data is ingested, modeled, and synchronized into the Knowledge Graph as a near-real-time graph of the development ecosystem. * Coordinate integration with external systems such as Jira, observability tools, Zendesk, and ServiceNow to add business context to data products. * Design the Data Marketplace so customers can consume GitLab data through Snowflake, Databricks, and BigQuery without engineering handoffs. * Publish GitLab observability data as OpenTelemetry and support the APIs used for data access. * Define operational readiness for the systems your team ships across GitLab.com, Dedicated, and Self-Managed deployments. * Translate ambiguous product problems into practical technical plans and iterative roadmaps in partnership with Product, Design, and the graph backend team. * Resolve cross-team coordination with Graph Backend, AI Platform, and Infrastructure to keep delivery moving. * Mentor senior and intermediate engineers through design reviews, pairing, and code review. WHAT YOU’LL BRING * Experience owning product or platform systems end to end across multiple engineering and product teams at the staff level. * Strong fullstack technical skills with proficiency in Go, Ruby, and Node. * Depth in at least one area such as reporting and metrics platforms, graph data systems, or data access and warehouse integrations including Snowflake, Databricks, or BigQuery. * Hands-on experience building production data ingestion, systems integrations, or data access capabilities. * Experience operating multi-tenant systems across both SaaS and self-managed environments. * Strong judgment in ambiguity, with the ability to make tradeoffs, create clarity, and move early-stage work forward. * Clear written communication skills, including architecture proposals and design records that help distributed teams make progress asynchronously. * A practical and proactive approach to collaboration, with transferable experience welcomed from adjacent platform, data, or product engineering backgrounds. ABOUT THE TEAM The Data Products team is building the foundation for how GitLab turns software delivery data into reliable, interoperable, and actionable intelligence for customers and internal teams. Our scope includes Software Engineering Intelligence, dashboard and reporting frameworks, external data access and output, and internal and external data ingestion across areas such as DORA metrics, value stream reporting, AI impact, software delivery trends, security and quality metrics, custom reporting, data access APIs, OpenTelemetry-based output, and ingestion into the Knowledge Graph and Data Insights Platform. We work in a high-ambiguity, high-impact space, and we collaborate closely across product and platform groups using GitLab's asynchronous, distributed way of working. HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.