Staff Data Scientist Platform Inference/payments jobs at Airbnb

The Difference You Will Make:

This role specifically focuses on identity verification. You will build products that enable guests and hosts to verify their identities seamlessly and to represent themselves accurately to the rest of the community. You'll balance business goals, regulatory requirements, and regional nuances to deliver solutions for our global community.

A Typical Day:

• Creating vision and strategy for Trust & Safety products and platforms.
• Leading a cross-functional working group of engineers, data scientists, designers, operations experts, and policy experts to ensure alignment, execution, and launches
• Maintaining product backlog and the product roadmap. Own prioritization process of product solutions based on business value and customer impact
• Defining goals and success with clearly measurable objectives and key results.
• Building alignment across product teams (inside and outside of Trust & Safety), and Leadership/Executive teams.
• Anticipating bottlenecks, making tradeoffs and balancing the business needs, customer needs, versus technical or operational constraints.
• Presenting product roadmap and status to the business and Airbnb leadership on an ongoing basis. Communicate concisely and influence outcomes.
• Evaluating new product opportunities and bring forward proposals (buy, build, partner solutions) for new capabilities with data and users at the forefront
• Developing short term plans aligned with long term goals to iteratively build platform capabilities to defend against fraud, abuse, safety, unwanted bad activities, etc.
• Becoming the thought leader and entrepreneur that others within Airbnb look up to for knowledge, processes, and methods on building products and platforms

Your Expertise:

• 5+ years product management experience
• Prior product, operation, or engineering experience in security, trust, safety, risk or fraud
• Outstanding written and verbal communication ability to a diverse stakeholder audience, including a global team of C-level executives, product, and technical stakeholders
• Strong analytical, troubleshooting, and problem-solving skills
• Experience building machine learning products or technical product management
• Experienced in design, and hypothesis driven product development
• Entrepreneurial drive to achieve stretch goals in an innovative fast-paced environment
• Exceptional collaboration, partnership and influencing skills with the ability to work in a global environment across multiple locations and time zones to drive consensus across teams
• Experience leading teams through ambiguity, and high stakes trade off decisions

Offices: United States

The Community You Will Join:

an Android Studio plugin to supercharge IDE & Sync performance, among many others.

A Typical Day:

• Collaborate with team members & cross functional partners to identify opportunities for improving our developers’ productivity.
• Drive roadmap projects and deliver high quality results to further our mission.
• Improve our existing frameworks & build system to deliver on our ambitious vision.

Your Expertise:

• 9+ years of industry experience building Android apps using Kotlin.
• Experience building frameworks and build-systems (using Gradle, Bazel, etc.)
• Deep technical understanding of how dependency injection systems work (e.g. Dagger)
• Experience building code generation tools (e.g. annotation processors, KSP, Kotlin compiler plugins)
• Experience working in medium to large-scale codebases.
• [Nice to have] 2+ years of experience using Jetpack Compose.
• [Nice to have] Experience building Android Studio / IntelliJ IDEA plugins.
• [Nice to have] Experience using Compose for desktop.
• Ability to travel to the San Francisco office for about a week each quarter for gatherings.

Offices: United States

A Typical Day:

• Work closely with Android and iOS engineers on the team to develop foundational, cross platform solutions.
• Partner with Airbnb product teams to understand their pain points, pilot proposed solutions, and drive adoption of paved path tooling and frameworks.
• Collaborate with a wide variety of infrastructure teams as well as support product foundation teams as they build additional capabilities on top of the team’s offerings.
• Participate in all phases of software development from architecture/design through implementation, testing, and on-call.

Your Expertise:

• 8+ years of industry experience.
• Extensive experience working with TypeScript to develop web applications, including designing and integrating with GraphQL and REST APIs.
• Proven track record working on an Infrastructure or Platform team supporting medium to large engineering organizations.
• Excellent engineering and coding skills, with a solid understanding of client networking, performance optimization, caching strategies, client storage solutions, and asynchronous programming.
• Experience mentoring and growing junior engineers and driving best practices for web client development.
• Motivation for personal growth and a commitment to learning new technologies to support the team’s evolving needs.
• Interest in innovations within the web industry and a passion for staying current with emerging trends.
• Interest in developing internal tooling and CLI (command line interface) applications. Experience building agentic AI solutions is a plus.

Offices: United States

The difference you will make:

As a member of this team you would be working with talented engineers on building infrastructure to solve cutting edge experimentation problems. The primary focus of this position will be on our platform’s results computation stack, consisting of data pipelines, a grammar for experimentation, and an analysis engine. You will bring a deep understanding of data processing, API design and experimentation methodology to help us reliably and accurately calculate results at scale, and to push the boundaries of what we can learn from experiments. The stack you would be working with consists of technologies like Spark, Trino, Python, and Airflow.

A typical day:

• Work to build, maintain, optimize and extend complex and large scale data processing pipelines.
• Contribute to Airbnb’s library for flexible and extensible on-demand analysis of experiments.
• Partner with teams across the organization to improve the impact of experimentation across the company. Participate in all phases of software development of the overall platform from architecture/design through implementation, testing, and on-call.
• Work closely with Data Science partners to implement sophisticated statistical methodologies into the platform.

• Participate in experiment reviews to understand how our customers use our infrastructure, identify areas for improvement and learn about features rolling out across the company.

Your expertise:

• 9+ years in a hands-on software engineering role, shipping high quality code to production, especially for high scale, distributed systems, data pipelines, and/or analytical libraries.
• Experience with at least one modern, general programming language (e.g. Python, Java)
• Experience with scientific/statistical computation, especially involving online experimentation
• Experience building software with ergonomic interfaces and great developer experience, especially for technical data users (e.g. data scientists).
• Experience with at least one modern “big data” technology (e.g. Spark, Dataflow)
• Strong SQL skills - you should be able to “go deep” when debugging or optimizing.
• [Nice to have] Experience building frameworks which generate data pipelines at scale.
• [Nice to have] Experience with a distributed stream processing framework (e.g. Flink, Kafka, Dataflow)

Offices: United States

The Community You Will Join:

You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.

The Difference You Will Make:

As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:

• Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
• Delivering data and insights to enable the company’s supply growth efforts
• Providing mentorship to other data scientists and exemplifying a high bar for technical excellence

A Typical Day:

• Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
• Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.
• Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
• Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.

Your Expertise:

• 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
• Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
• Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
• Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
• Proven ability to communicate clearly and effectively to audiences of varying technical levels

Offices: United States

A Typical Day:

Operational Enablement & Execution

• Partner cross-functionally to operationalize core workflows for Airbnb’s payments platform—including third-party payments, unpaid payouts, blocked third-party payments, dormant accounts, liens, garnishments, and escheatment—ensuring each has clear ownership, documented processes, appropriate tooling, and reliable execution with defined performance metrics and SLAs.
• Collaborate cross-functionally with Product, Risk, Compliance, Partnerships, Treasury, Customer Support, FP&A, and regional teams to align on workflow design, tooling needs, volume projections, resource planning, and budgeting.
• Balance control and experience, ensuring operational processes meet policy, risk, and compliance requirements while minimizing friction for guests and hosts.
• Identify and implement optimization opportunities across money-movement operations, leveraging automation, AI, and data insights to improve accuracy, speed, and scalability.
• Close ownership gaps by establishing clear accountability, measurable SLAs, and consistent global execution standards.
• Develop playbooks, procedures, and escalation paths that define how payments operations are executed and governed across markets and teams.
• May eventually lead directly or indirectly a team of people to enable and execute operations.

Policies, Procedures & Standards

• Define and maintain clear policies and procedures that guide payment operations, ensuring ownership, consistency, and compliance globally.
• Embed controls into everyday work so processes meet legal and regulatory requirements without adding unnecessary friction.
• Keep policies and procedures current and simple, updating them as products, markets, or regulations evolve, and ensuring teams know how to apply them in daily operations.
• In partnership with the platform product team, define and implement operational policies, controls, and SOPs ahead of product launches to ensure readiness.

Cross-Functional Collaboration

• Act as the link between Product, Treasury, Compliance, Risk, Finance, Partnerships, and regional teams, turning product and policy intent into practical operations.
• Engage early in new launches and programs to ensure readiness, clear ownership, and smooth execution.
• Work with regional teams to adapt global processes to local needs while maintaining consistency and compliance.
• Align priorities across teams to remove blockers, reduce duplication, and deliver payments initiatives efficiently..

Continuous Improvement

• Monitor performance data and incidents to identify trends, friction points, and improvement opportunities across pay-in and payout operations.
• Simplify and standardize workflows to enhance efficiency, reduce manual effort, and improve accuracy and speed.
• Use automation, AI, and insights to proactively improve scalability and reliability.
• Create feedback loops that capture lessons learned from incidents and launches, feeding them into process and platform design.
• Foster a culture of operational excellence, where teams continuously refine how payments operations are delivered and measured for reliability, control, and customer impact.

Your Expertise:

• 12+ years of experience in payments, fintech, or financial services, with a focus on operations, enablement, or process management.
• Proven success in building and scaling operational payment processes across complex, cross-functional organizations.
• Deep understanding of pay-ins, payouts, operational workflows, forecasting, and exception management, including regulatory, compliance, and policy requirements.
• Demonstrated ability to translate strategy and policy into actionable, scalable operations.
• Strong collaboration and stakeholder management skills across Product, Risk, Compliance, Finance, and Operations teams.
• Analytical and structured thinker with a bias for execution and continuous improvement.
• Excellent communicator, able to simplify complex concepts and influence effectively across all levels of the organization.

Offices: United States

The Difference You Will Make:

At CnC, data is foundational to our organization’s success.This role will lead key initiatives to design and build large-scale, distributed data systems - both batch and real-time processing. The data will power machine learning models and unlock new product features. You’ll be at the center of cross-functional collaboration, bridging backend, frontend/client, and machine learning engineering teams.

A Typical Day:

• Shape the team’s long-term vision and roadmap in close collaboration with cross-functional partners across Airbnb
• Build strong relationships with partner engineering teams, including backend, client, data science, analytics, and ML, to drive aligned and impactful outcomes
• Design, develop, and maintain reliable, scalable data pipelines - both batch and real-time - that collect, process, and serve data from diverse sources across Airbnb
• Implement robust offline and online feature building processes to enable faster production of ML products
• Architect and build ML infra and optimize for performance, scalability, and cost-effectiveness
• Mentor and develop engineers on the team, while also contributing to and influencing the broader data engineering community at Airbnb

Your Expertise:

• 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
• Strong CS fundamentals, and knowledge of architecture and common design patterns
• You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact
• You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink
• Experience collaborating with client, backend, ml, analytics teams, product and business partners
• Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams
• Experience working on/with end-to-end Machine Learning products
• Excellent communication skills, both written and verbal

Offices: United States