Senior Data Scientist - Pricing at Airbnb | Remote

Founded in 2007, Airbnb began with the vision of connecting people through unique stays and experiences. Today, we boast over 5 million hosts worldwide who have welcomed more than 2 billion guests. Our mission is to foster authentic connections between travelers and local communities.Join Our Community:As part of a dynamic team of data scientists, analysts, …

Founded in 2007, Airbnb has transformed the travel landscape, growing from a humble start with three guests to a vibrant community of over 5 million hosts welcoming more than 2 billion guests worldwide. Every day, our hosts offer distinct stays and experiences, fostering authentic connections between travelers and local communities.Join Our Collaborative Team:You will be part of a dynamic group of data scientists, analysts, engineers, product managers, and designers dedicated to developing innovative pricing solutions for Airbnb hosts. Your primary team will include data scientists within the Guest & Host Data Science organization, who create models, essential tools, and insights to enhance the Airbnb marketplace for both guests and hosts. Your Impactful Contributions:Play a crucial role in shaping a pricing guidance system for our hosts and employ various methods (both experimental and observational) to evaluate the effectiveness of pricing feature launches. You will spearhead innovative pricing science initiatives, including pioneering 0-to-1 projects that require a blend of scientific rigor and creative business insights. Your most impactful work will involve:Working closely with product and cross-functional teams to develop and implement pricing strategies and guidance for hosts, translating sophisticated modeling into practical recommendations.Creating foundational models and experimental frameworks that balance marketplace supply and demand, using empirical methods to evaluate and enhance pricing feature impacts.Crafting engaging data narratives to reveal actionable insights, empower data-driven decision-making, and steer the future of Airbnb’s pricing ecosystem. A Day in Your Role:Gaining a comprehensive understanding of host perspectives on pricing and their interactions with our application through analysis and research.Building strong relationships with cross-functional partners in Product, Engineering, and Analytics.Coding in Python, SQL, and R to model, simulate, and measure the impact of new pricing features.Diving into data creatively to assess the varying effects of pricing feature launches, converting these insights into clear recommendations.Sharing findings and insights with leadership and partners in a straightforward and impactful manner.

Join Our Mission to Empower Others: We’re Hiring! At GoFundMe, we pride ourselves on being the world’s largest platform dedicated to social good, connecting individuals and nonprofits to foster a supportive community. Since our inception in 2010, our collective efforts have raised over $40 billion to help people in need. We are committed to making it easy and secure for anyone to seek assistance and support meaningful causes. We are currently seeking a talented Staff Data Scientist specializing in Pricing to take the lead as a senior individual contributor. You will spearhead the scientific methods, strategic initiatives, experimentation, and AI implementation that drive pricing and yield optimization at GoFundMe. This pivotal role combines elements of economics, behavioral science, experimentation, and machine learning, directly influencing donation conversion rates, donation amounts, and overall donor experiences across our platform. Please note, candidates must be located in the San Francisco Bay Area, as this position requires in-office attendance three times a week. Your Role: End-to-End Ownership of Donation Pricing: Develop and implement analytical strategies, modeling frameworks, and key success metrics for pricing recommendations, balancing conversion rates, donation sizes, and long-term donor trust. Modeling Human Behavior: Utilize economic theories, behavioral science, and machine learning techniques to comprehend donor decision-making processes, assess elasticity, and forecast responses to alterations in product design. Leveraging Behavioral Signals: Analyze non-transactional behavioral signals (such as navigation patterns, hesitations, context, device usage, and timing) to identify shifts in intent and interaction patterns beyond direct transactions. Creating Adaptive Systems: Engineer models that evolve over time, integrating experimentation signals, feedback loops, and reinforcement learning concepts as needed. Leading Experimentation and Causal Learning: Collaborate with Product and Engineering teams to establish robust experimentation and measurement frameworks, ensuring that pricing and donation models maintain causal integrity and are safe for large-scale deployment. Incorporating External Data: Enhance behavioral models using external datasets (including macroeconomic indicators, seasonal trends, and regional signals) to gain deeper insights into donor behavior. Translating Insights into Action: Transform complex economic and behavioral analyses into actionable, deployable models.

Okta secures digital identity for both AI and human users, building infrastructure that helps organizations adapt to new challenges. The company focuses on solving complex problems that have a real impact for its customers. The Pricing Strategy team partners with Product, Finance, Sales, and Operations to define how Okta packages, prices, and monetizes its products worldwide. This group blends strategy with analytics, using market trends and customer data to develop recommendations that influence executive decisions and field execution. Role overview The Principal Data Scientist, Pricing Strategy, reports to the Head of Pricing Strategy. This position leads analytics projects that shape pricing and packaging strategies across Okta’s product portfolio. The role combines quantitative analysis with strategic thinking, developing measurement methods, building and deploying models, and running test-and-learn programs to guide monetization. Collaboration with senior leaders in Product and Go-to-Market teams is essential, turning open-ended questions into actionable insights and scalable plans. What you will do Strategic Pricing Influence: Work with Product, Go-to-Market, and Finance leaders to shape pricing, packaging, and discount strategies using data-driven insights. Advanced Analytics and Modeling: Build and apply models and analytical frameworks to forecast pricing effects, predict customer behavior, and estimate revenue outcomes across regions and segments. Experimentation and Pilots: Design and evaluate pilots and test-and-learn initiatives for new pricing strategies, including defining success metrics and evaluation methods. Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance. Metrics and Dashboards: Develop dashboards and reports that clearly communicate findings to stakeholders. Location This position is based in Bellevue, Washington or San Francisco, California.

Airbnb started in 2007 when two hosts welcomed three guests into their San Francisco home. Since then, the platform has grown to over 5 million hosts and more than 2 billion guests worldwide. Hosts offer unique stays and experiences that connect travelers with local communities. Trust Engineering at Airbnb Trust sits at the heart of Airbnb’s platform. The Trust Engineering team builds technology to keep the community safe and uphold high standards for hosts, guests, homes, and experiences. Their work addresses both online risks, such as account compromise, fake listings, and financial loss, and offline concerns like theft, property damage, and personal safety. The team’s responsibilities include user onboarding, screening, identity, and reputation systems. Trust Engineering leads the technical vision for these systems and integrates them throughout Airbnb’s platform. Role overview The Senior Staff Software Engineer, Trust, is a senior individual contributor role. This engineer partners with technical leaders across Airbnb to shape, plan, and deliver a broad roadmap of Trust engineering projects. The position involves extensive collaboration with teams throughout the company. While highly senior, this is still a hands-on engineering role, every Airbnb software engineer, regardless of level, contributes code and development work. What you will do Define and drive the long-term vision and strategy for the Trust Platform, setting architectural direction for core systems that support scalable, high-quality fraud detection, safety, and trust decisions across Airbnb. Work deeply within Trust Platform components, developing system and performance tools, and identifying ways to improve technical quality, operational excellence, and developer experience. Promote an AI-first engineering approach, using LLM-powered agents to generate and refine code, so you can focus on problem-solving, system design, and quality oversight. Location This position is remote and based in the United States.

Founded in 2007, Airbnb has transformed the way people travel by connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform offers unique stays and experiences that foster authentic community connections.Join Our Innovative Team:Viaduct serves as a critical data access layer for Airbnb, managing over 70% of our API traffic.Positioned at the core of Airbnb’s technology, Viaduct delivers a global schema and query system through GraphQL.Our mission: “Empowering app developers at Airbnb by enhancing developer experience through simplified APIs and improved performance.”Our seasoned team sets industry best practices and pioneers next-gen architectures.Collaborate closely with various infrastructure teams to deliver a robust development experience.We treat our platform as a product and uphold the principles of effective Platform Engineering.Your Impact:With Viaduct running in production for over six years, you will contribute to the ongoing evolution of Viaduct Modern, enhancing the developer experience for hundreds of engineers.As an Open Source project, your contributions will benefit both Airbnb developers and the broader community.A Day in the Life:Engage in coding, troubleshooting, and collaboration to drive innovation on our GraphQL platform.

Role Overview Airbnb is hiring a Senior Programs & Business Operations Lead based in the United States. This position focuses on shaping operational strategies and leading initiatives that improve efficiency across the company. The role is central to aligning business operations with Airbnb's mission of helping anyone feel they can belong anywhere. What You Will Do Lead cross-functional projects that strengthen global operations Develop and implement strategies to improve efficiency Collaborate with teams across the organization to support key business goals Team & Impact This role joins a collaborative team focused on driving projects that make a tangible impact on Airbnb’s worldwide operations.

Join Lyft as a Data Scientist specializing in Machine Learning, Pricing, and Rider Engagement. In this role, you will leverage your expertise in data analysis to improve pricing strategies and enhance rider experiences. Collaborate with cross-functional teams to design, implement, and optimize machine learning models that drive decision-making and business growth.

Join the dynamic Analytics team at DoorDash as a Data Scientist or Senior Data Scientist, where your expertise will directly influence strategic decisions and operational improvements. You will uncover valuable insights from vast datasets, transforming them into actionable recommendations that drive company-wide initiatives. Collaborate with diverse teams in areas like Consumer & Growth, Business Operations, and Customer Experience to elevate our analytics capabilities and impact our business in meaningful ways.

Founded in 2007, Airbnb has transformed the way people experience travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and authentic experiences, fostering connections with local communities.The Team You Will Join:As a pivotal member of the Data Warehouse Infrastructure team, you will help shape the backbone of Airbnb's big data capabilities, enabling hundreds of engineers to efficiently collect, manage, and analyze vast amounts of data. We leverage cutting-edge open-source technologies such as Hadoop, Spark, Trino, Iceberg, and Airflow.Typical Responsibilities:Design and architect Airbnb's next-generation big data compute platform to enhance data ETL, analytics, and machine learning efforts.Oversee the platform's operations, focusing on improving reliability, performance, observability, and cost-effectiveness.Create high-quality, maintainable, and self-documenting code while engaging actively in code review processes.Contribute to open-source projects, making a significant impact on the industry.

Join our innovative team at Pinterest as a Senior Data Scientist in the Core division. We're looking for a data-driven professional who is passionate about leveraging data analytics and machine learning to enhance user experience and drive business outcomes. At Pinterest, you will collaborate with cross-functional teams to develop data models and insights that influence strategic decisions.

About tvScientifictvScientific is the premier CTV advertising platform specifically designed for performance marketers. By harnessing extensive data and innovative science, we automate and enhance TV advertising to achieve tangible business results. Our integrated solution encompasses media buying, optimization, measurement, and attribution, all within a single, efficient platform. Developed by industry veterans with deep experience in programmatic advertising, digital media, and ad verification, our platform provides advertisers with the trust they need to scale their business.As a vital member of our Data Science team, you will transform data into actionable insights, influence business strategies, and lead analytics projects from start to finish. Your daily responsibilities will include crafting tailored reporting and analytics tools to address the specific needs of our clients.

Airbnb, founded in 2007, connects hosts and guests in more than 190 countries. With a network of over 5 million hosts, the company offers unique stays and experiences that help guests build connections around the world. About the Role The Programs & Business Operations Lead joins the Chief Business Officer organization. This team shapes Airbnb’s growth strategy, expanding business offerings beyond traditional accommodations and maintaining a high-quality supply of stays and services that elevate the guest experience. What You Will Do Analyze supply and demand across multiple markets and customer segments, surfacing insights that influence business, financial, and customer outcomes. Turn complex data into clear, actionable strategies that support the growth of Airbnb's Services division. Design and implement new metrics and key performance indicators to better track business trends. Develop operational plans using data-driven approaches to optimize the performance of the Services business. Location This position is based in the United States.

At Descript, we are on a mission to revolutionize the way audio and video content is created. Our innovative platform has earned the trust of renowned podcasters, influencers, and prestigious organizations like BBC, ESPN, HubSpot, Shopify, and The Washington Post. With $100M in funding from top investors, including the OpenAI Startup Fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital, we are poised for tremendous growth. We are seeking a proactive and analytical Senior Marketing Data Scientist to join our dynamic Growth team. In this role, you will collaborate with the Performance Marketing team to design and implement a comprehensive measurement framework, optimize marketing performance across the entire funnel, and drive data-informed business strategies. This crucial position will enable Descript to enhance its marketing capabilities across both B2C and B2B sectors. You will leverage AI-driven analytics tools to streamline decision-making processes and deliver scalable predictive insights. This position can be performed remotely within the United States or onsite in the San Francisco Bay Area.

Founded in 2007, Airbnb has transformed the way people travel, connecting over 5 million hosts to more than 2 billion guest arrivals across nearly every country in the world. Our platform allows hosts to offer unique stays and experiences, facilitating authentic connections between guests and local communities.LocationThis position is fully remote and should be based in Mainland China. Note: No Relocation or Visa Support offered.The Community You Will JoinThe Notifications team at Airbnb is focused on crafting and enhancing essential notification systems that ensure smooth and efficient communication for our guests and hosts worldwide. We work closely with product teams to assess notification requirements and deliver scalable solutions. Our goal is to improve engagement, reduce user fatigue, and achieve significant business results through technology and governance.The Difference You Will MakeWe seek backend engineers who are dedicated to building reliable systems that create meaningful user impacts. You will collaborate in a global setting to translate product and engineering concepts into effective production systems. Your contributions will help to develop our notification platform, refine delivery timing, optimize channel selections, and create scalable solutions that support various product teams across Airbnb.A Typical DayWork with engineers and cross-functional partners to clarify requirements, prioritize tasks, and define project scopes within your team’s roadmap.Engage in technical design discussions and align implementation details with team members and partner teams.Create clean, testable, and maintainable code for backend services and platform capabilities.Participate in on-call rotations and enhance operational excellence through improved runbooks, monitoring, and rollback readiness.Diagnose production issues, implement fixes, and enhance system reliability in your areas of responsibility.Guide and mentor junior engineers through code reviews, design discussions, and everyday collaboration.

Join Databricks as a Principal Data Scientist and contribute to shaping the future of data analytics and machine learning. In this pivotal role, you will leverage your expertise to drive impactful projects, collaborate with cross-functional teams, and lead innovative research initiatives that enhance our product offerings. As a thought leader, you will utilize your extensive knowledge in data science to influence our strategic direction, ensuring our solutions remain at the forefront of technology.

Join the innovative team at tvScientific as a Senior Data Scientist, where your expertise in data analysis and machine learning will drive impactful decisions. You will collaborate with cross-functional teams to develop data-driven strategies that optimize our advertising solutions. Engage in deep statistical analysis and contribute to the advancement of our data science capabilities.

About the Role Grow Therapy is hiring a Senior or Staff Data Scientist in San Francisco. This role focuses on using data to inform key decisions and improve therapy services.

Founded in 2007, Airbnb has transformed the way people travel and experience the world. With over 5 million hosts welcoming more than 2 billion guest arrivals globally, Airbnb connects travelers with authentic local experiences that foster deeper community ties.Join Our Dynamic Team: As part of the Cities team, you will play a crucial role in developing regulatory strategies and processes that enable Airbnb to thrive while adhering to local laws.Your Impact: In the role of Regulatory Operations Lead, you will leverage your expertise in regulatory frameworks to guide cross-functional teams and influence strategic initiatives across regions. Your leadership will help us create innovative, scalable solutions that are aligned with our product focus.Your responsibilities will include overseeing the implementation of strategic programs while crafting localized strategies that boost Airbnb's growth and retention. A strong background in operational program development, alongside the ability to thrive in complex regulatory landscapes, will be essential in this role. Your meticulous attention to detail will inspire those around you to achieve excellence.A Day in the Life: Lead the strategic planning and execution of scalable regulatory programs across various jurisdictions, providing insights and updates to senior management.Oversee the complete execution of complex regulatory initiatives, ensuring compliance with evolving legal standards and upholding Airbnb's commitments.Translate new regulatory developments into actionable business strategies for executive leadership.Collaborate with technical teams to design tools that proactively address regulatory challenges.

At Lyft, we are dedicated to creating connections and serving our community. We strive to foster a workplace culture where every team member feels a sense of belonging and can flourish. The Pricing team is pivotal to Lyft’s marketplace, responsible for setting prices for all rideshare services and spearheading new initiatives. The Dynamic Pricing & Offer Selection team focuses on determining optimal prices and ETAs in real-time, balancing supply and demand within our dual-sided marketplace to enhance both immediate and long-term customer conversion and retention. As an Applied Scientist with expertise in Machine Learning and Operations Research, you will create mathematical models and deploy algorithms that inform crucial pricing and ETA decisions. Your role will involve developing ML and optimization models and implementing scalable pipelines capable of handling millions of requests daily while addressing significant business challenges impacting marketplace dynamics and rider satisfaction. You will engage with a diverse range of real-world issues across optimization, prediction, machine learning, and inference, collaborating closely with colleagues and stakeholders across Pricing, including Product Managers, Engineers, and Analysts. We seek a candidate who thrives in a fast-paced, innovative environment and excels at balancing complexity with efficiency to transform real-world business challenges into dependable solutions, systems, and decision-making frameworks.