Staff Data Scientist - Full Stack

SentiLink is at the forefront of revolutionizing identity verification and risk solutions, enabling organizations and individuals to conduct transactions with utmost confidence. Our mission is to redefine the identity verification landscape in the United States by delivering solutions that outpace traditional methods in speed, intelligence, and accuracy.With significant growth momentum, SentiLink's real-time APIs have successfully validated hundreds of millions of identities, initially within financial services and rapidly branching into diverse sectors. We are proudly supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our innovative approach has garnered accolades from industry leaders and media outlets, including TechCrunch, CNBC, Bloomberg, Forbes, and Business Insider. Notably, we have consistently secured a spot on the Forbes Fintech 50 list since 2023. We also made history by being the first company to launch the eCBSV and by presenting our insights to the United States House of Representatives regarding the future of identity.SentiLink embraces various work arrangements, from fully remote to on-site options. As a digital-first organization, we foster robust collaboration across teams in the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., along with Gurugram and Bengaluru in India. For those near our offices, we encourage regular in-office engagement, although some roles are intentionally hybrid or office-based, exemplified by our engineering team in India who primarily operates from our Gurugram office.

Join Us in Building a Safer World.At TRM Labs, we harness the power of blockchain analytics and AI technologies to empower law enforcement, national security agencies, financial institutions, and cryptocurrency enterprises in the fight against crypto-related fraud and financial crime. Our advanced platforms provide critical insights to trace fund origins, identify suspicious activities, and construct comprehensive threat landscapes. Trusted by leading organizations globally, TRM is committed to fostering a safer, more secure world for everyone.We invite you to become a part of our Knowledge Layer team, dedicated to extracting, structuring, and analyzing vast amounts of unstructured data. This pivotal team focuses on knowledge graphs, entity resolution, graph extraction, and graph analytics, supporting the development of TRM’s core intelligence offerings.We seek a passionate Senior Full Stack Data Scientist to amplify our machine learning and data science capabilities. You will bring practical ML expertise—particularly in knowledge extraction and graph-based ML—to the table, enabling us to innovate and scale our solutions effectively. This role is perfect for someone who thrives in end-to-end operations, from model selection and experimentation to rolling out ML systems and APIs.Your Impact:Design, develop, and implement machine learning models aimed at:Knowledge extraction from unstructured data (e.g., Named Entity Recognition, entity linking)Graph-based learning and inferenceEntity resolution and relationship discoveryAnalyze existing ML models and frameworks to address real-world challenges efficientlyCollaborate closely with backend and graph engineers to integrate ML models into production services and APIsContribute to the design and enhancement of knowledge graphs and ontologiesConduct exploratory data analysis (EDA) to guide modeling decisions and system architectureManage ML components end-to-end, including experimentation, evaluation, deployment, and iterative improvementHelp establish best practices for applied ML within the Knowledge Layer teamDesired Qualifications:Proven experience in machine learning and data science, particularly with knowledge extraction and graph-based methodsStrong programming skills in languages such as Python or RFamiliarity with ML frameworks and libraries (e.g., TensorFlow, PyTorch)Effective communication skills to collaborate with technical and non-technical stakeholders

About GustoAt Gusto, we are dedicated to empowering the small business economy. We take care of essential services such as payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on their passion and serving their customers. With teams based in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, and we are committed to building a workplace that reflects and celebrates the diversity of our customers. Discover more about our Total Rewards philosophy. About the Role:We are seeking a highly skilled and motivated Staff Data Scientist with a minimum of 7 years of experience in a business environment. In this pivotal role, you will utilize experimentation, statistical inference, and causal analysis to drive strategic decision-making that enhances our organization's success. The ideal candidate is a trusted data storyteller with strong statistical and programming skills, passionate about using these abilities to support small businesses in thriving.About the Team:In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in your domain's data, define and track metrics that provide insights into our business performance, and delve into our Payroll, Benefits, and HR data to deliver valuable insights and answer critical questions. You will also implement AI-assisted methodologies to accelerate analysis, enhance rigor, and broaden the impact of insights throughout Gusto. We have multiple senior roles open, each focusing on a different segment of our business.Here’s what you’ll do day-to-day:Lead: Tackle ambiguous challenges, design analytical frameworks, and introduce scalable structures across multiple product domains.Strategic Partnership: Work alongside product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategies, and steer data-informed decision-making.Analytical Rigor: Employ advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to identify product performance drivers, distinguishing signal from noise.Experimentation & Analysis: Conduct rigorous experimentation to validate hypotheses and inform product iterations.

Join Grindr as a Staff Data Scientist in a hybrid role based out of our San Francisco, Los Angeles, or Chicago offices, requiring in-office presence on Tuesdays and Thursdays.Why This Role is Unique?Grindr (NYSE: GRND) is the world’s largest LGBTQ+ social application, boasting over 14 million monthly users globally. We are not just a platform but a vital part of the LGBTQ+ community and a cornerstone of gay culture.As a Staff Data Scientist, you will collaborate closely with product managers, designers, and engineers to create insightful metrics that drive product development. You will design and implement innovative experiments, present data-driven insights for decision-making, and explore new growth strategies through comprehensive analysis. This role allows you to work on deployed models that enhance the user experience for millions, while becoming an informal ambassador for the Data Science team, educating others on effective data utilization.You will be part of a dynamic data organization at Grindr that integrates data scientists, data engineers, and ML/AI engineers into a united and collaborative team. This is a unique opportunity to learn, share knowledge, and make a significant impact alongside industry leaders.Your ResponsibilitiesExtract actionable insights from complex, open-ended queries.Design and assess experiments to evaluate the impact of product changes.Analyze product data to identify root causes behind metric fluctuations.Effectively communicate findings to cross-functional stakeholders to inform product strategies.Develop tools to scale and automate analyses, enhancing company productivity.Mentor and guide team members, recommending best practices.Apply an engineering mindset to reduce complexity while maximizing utility and maintainability.Contribute to the development of future ML solutions to enhance recommendations, detect spam, and better serve our users.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. We’re revolutionizing personal finance by empowering our members with innovative, mobile-first technology to achieve their goals. As a next-generation financial services company and national bank, we're leading an unprecedented transformation in the industry, making a direct impact on lives every day. Join us to invest in yourself, your career, and the financial world.Role Overview:The Borrow Data Science team is in search of a Senior Staff Data Scientist to propel growth in our Home Loans division, enhancing SoFi's data execution capabilities. This pivotal role invites you to apply your analytical expertise to develop robust reporting, pinpoint growth opportunities, and construct machine learning models using tools such as Snowflake, Airflow, dbt, and Sagemaker.As a Senior Staff Data Scientist, you will lead data initiatives, balancing urgent needs with high-quality project delivery to key stakeholders through a clear, data-informed methodology. You will take on a technical leadership role, helping to develop reliable, efficient, and scalable data infrastructures, fostering a culture of technical ownership, and documenting your approaches to disseminate strategies throughout the organization. You will conduct analytical deep-dives to proactively identify impactful opportunities that will inform future experimentation designs and product roadmaps.In this position, you’ll leverage your proficiency in data analysis, statistical modeling, and machine learning to reveal insights that will directly shape product strategy and drive revenue growth. This role requires a solid technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and superior collaboration skills.

Join Reddit as a Senior Data Scientist in our Consumer Insights team, where you will leverage data to shape the future of community engagement. In this pivotal role, you will identify new opportunities for user growth, enhance engagement strategies, and drive retention through data-driven insights. You will conduct exploratory analyses, guide product strategy, and spearhead innovative experiments, all while collaborating closely with cross-functional teams. Your contributions will significantly impact how millions of users connect with the content and communities they care about.

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.

Join Our Team at Rad AIAt Rad AI, we are dedicated to reshaping the healthcare landscape through the power of artificial intelligence. Founded by a visionary radiologist, our innovative AI solutions are revolutionizing the field of radiology by significantly enhancing efficiency, alleviating professional burnout, and ultimately improving patient outcomes. With access to one of the largest proprietary datasets of radiology reports globally, our AI technology has played a crucial role in identifying numerous new cancer diagnoses and has successfully reduced error rates in millions of radiology reports by nearly 50%.Having raised over $140 million in funding, including a notable Series C round of $68 million led by Transformation Capital, we are proud to be valued at $528 million. Our esteemed investors, such as Khosla Ventures, World Innovation Lab, Gradient Ventures, and Cone Health Ventures, are all committed to supporting our mission of empowering healthcare professionals with state-of-the-art AI tools.Our groundbreaking advancements in generative AI are utilized daily by thousands of radiologists, serving more than one-third of radiology groups and healthcare systems across the U.S., including partnerships with Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as a leader in healthcare AI by CB Insights, and celebrated by AuntMinnie for our Omni Reporting tool as 2023's best new radiology software, we are also ranked as the 19th fastest-growing company in North America by Deloitte. Most recently, we earned a spot on CNBC’s Disruptor 50 list, showcasing our innovation and growth.If you are passionate about shaping the future of healthcare, we invite you to join our dynamic team!Why You Should Join Us:We are seeking a talented Staff Software Engineer to become a vital part of our platform team. In this position, you will be responsible for the development and maintenance of our comprehensive healthcare data platform. Your efforts will focus on creating tools and systems that are essential for our mission-critical products, such as our Reporting application, collaborating with platforms like Medplum and managing health data standards including HL7.You will have a significant impact on designing and maintaining the backend infrastructure that supports our customer-facing products. This role is predominantly backend-focused, making it perfect for individuals who excel in building robust and scalable systems using Python and TypeScript.

About TaskRabbit:TaskRabbit is a dynamic marketplace platform that seamlessly connects individuals with Taskers to take care of everyday tasks, including furniture assembly, handyman services, moving assistance, and much more.At TaskRabbit, our mission is to transform lives one task at a time. We celebrate innovation, inclusivity, and dedication. Our workplace culture is collaborative, pragmatic, and fast-paced. We're in search of talented, entrepreneurially-minded, data-driven individuals who are passionate about empowering others to pursue their passions. In partnership with IKEA, we're creating more opportunities for individuals to earn a consistent and meaningful income on their own terms by fostering lasting relationships with clients in communities worldwide.TaskRabbit operates as a hybrid company with team members distributed across the US and EU, and we are proud to be recognized as a Built In — Best Places to Work (2022, 2023, 2024) in multiple national and regional categories. Join us at TaskRabbit, where your work is impactful, your ideas are valued, and your potential is unleashed!This role follows a hybrid schedule, requiring two days of in-office collaboration each week. You can work from either our San Francisco office or our new New York City office, set to open in April 2026.

About StackAIStackAI is a revolutionary no-code AI workflow platform that enables businesses to construct, implement, and expand AI-driven workflows without requiring extensive machine learning expertise. With a growing user base and increasing enterprise adoption, our goal is to democratize access to large language models (LLMs), empowering every business operator—beyond just developers. Supported by Y Combinator and top-tier investors, we are laying the groundwork for the AI-driven future of work.The RoleAs a Senior Full Stack Engineer, you will be instrumental in defining the product and technical architecture at StackAI. Your responsibilities will span the entire technology stack, from crafting scalable backend systems to creating stunning and user-friendly frontend interfaces, and incorporating advanced AI models into our platform. This role offers significant impact, as you will work closely with the founding team, take charge of essential product features, and shape the engineering culture of a rapidly evolving startup.We seek exceptional 10X engineers—innovative builders who can consistently deliver results in a dynamic environment, remain inquisitive, and excel in diverse roles.ResponsibilitiesIn this role, you will:Build and own the entire platform, from backend services and APIs to frontend interfaces.Create robust, scalable backend systems utilizing Python and FastAPI (or similar), with optimized databases (SQL/NoSQL).Design and maintain high-quality user interfaces using React, Next.js, TypeScript, and Tailwind CSS, ensuring polished, intuitive, and responsive user experiences.Integrate new AI models and features into our products for seamless performance and enhanced value.Manage StackAI’s landing and product pages to establish benchmarks for clarity, design, and quality.Collaborate across the stack to connect backend services with frontend applications seamlessly.Engage with design, product, and customers to refine product direction and prioritize user needs.Stay at the forefront of full-stack technologies, promoting best practices and innovative solutions.Assist with customer support as needed; every team member contributes to user satisfaction.

Employee Applicant Privacy NoticeWho we are:At SoFi, we are on a mission to redefine personal finance and empower our members to achieve their financial goals. We are a forward-thinking financial services company and national bank utilizing cutting-edge, mobile-first technology to transform the financial landscape. Join us in making a tangible impact in people's lives while adhering to our core values. Invest in yourself, your career, and the financial future with us.The RoleThe Borrow Data Science team is on the lookout for a Staff Data Scientist to drive growth in our Personal Loans sector by harnessing the power of data. This is an exciting opportunity for an analytical professional to develop comprehensive reporting, uncover growth potential, and construct machine learning models utilizing tools such as Snowflake, Airflow, dbt, and Sagemaker.In your position as Staff Data Scientist, you will act as a data leader, managing urgent requests while delivering high-quality projects to critical stakeholders through a structured, data-driven approach. You will also be responsible for establishing reliable, efficient, and scalable data foundations, fostering a culture of technical ownership, and documenting your methods and insights to promote widespread strategies within the organization. Your analytical deep-dives will proactively identify impactful opportunities and inform future experimentation and product roadmaps.In this capacity, your expertise in data analysis, statistical modeling, and machine learning will reveal insights that directly contribute to product strategy and revenue enhancement. This role necessitates a robust technical proficiency (SQL, Python/R, Tableau, Statistics), a thorough understanding of business metrics, A/B testing, causal inference analysis, and excellent collaboration skills.Moreover, you will engage cross-functionally with teams from engineering, product management, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive leadership.

Overview:Join the innovative Data Acquisition team at OpenAI, where we drive the future of AI through advanced data collection techniques. Our mission is to support model training operations by managing web crawling and the GPTBot services. Collaborating with Data Processing, Architecture, and Scaling teams, we are on the lookout for a talented Full-Stack Engineer to enhance our data infrastructure. In this role, you will create and optimize the tools and interfaces that are crucial for our data operations.Responsibilities:Design, develop, and maintain full-stack applications tailored for data acquisition, including internal tools and comprehensive dashboards.Work collaboratively with cross-functional teams, such as Data Processing, Architecture, and Scaling, to facilitate efficient data ingestion and workflow management.Craft and implement APIs that streamline data interactions between internal systems and external data sources.Enhance user experience by creating intuitive web-based interfaces for effective management and monitoring of data pipelines.Optimize backend services focusing on performance, scalability, and security within a distributed computing framework.Collaborate with legal and compliance teams to ensure our data acquisition practices meet privacy regulations and adhere to industry best practices.Deploy and maintain infrastructure leveraging Kubernetes and Infrastructure-as-Code (IaC) methodologies.Analyze system performance, conduct thorough experiments, and refine data workflows to drive operational efficiency.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related discipline.4+ years of professional experience in full-stack development.Expertise in frontend frameworks (e.g., React, Vue) as well as backend technologies like Python, Node.js, or Go.Strong command of RESTful APIs, GraphQL, and database design (both SQL and NoSQL).Experience in developing data-intensive applications capable of managing large-scale datasets.Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker).Previous experience in web crawling and large-scale data processing is advantageous.Exceptional problem-solving abilities and adeptness at juggling multiple tasks in a dynamic environment.Outstanding communication and collaboration skills.

MaintainX builds a mobile-first workflow management platform for industrial and frontline teams. Our IoT-enabled, cloud-based product supports maintenance, safety, and operations across equipment and facilities. Over 13,000 organizations, including Duracell, Shell, McDonald's, Cintas, and others, use MaintainX to streamline work execution in manufacturing. Following a recent $150 million Series D, our total funding stands at $254 million, with a company valuation of $2.5 billion. Role Overview MaintainX is hiring Senior and above Full-Stack Developers for the Connected Data team. This group focuses on integrating clients' operational data into MaintainX, building advanced integrations, managing sensors, and developing APIs. The team handles data ingestion, normalization, and presentation, supporting automation and asset intelligence features. Key systems include: Connectors (Ignition, Kepware, MQTT/Sparkplug B) On-Premise Agent Automation and Alerting engine Connected Data operates in squads and works closely with major enterprise clients to digitize equipment data. What You Will Do Improve our integrations platform: Design, build, and maintain connectors and data pipelines to import customer data from industrial systems such as Ignition, Kepware, MQTT brokers, OPC UA servers, SCADA, and historians. Build IoT and sensor experiences: Develop backend systems for ingesting, transforming, and storing high-volume sensor telemetry. Create frontend interfaces for monitoring device health, managing fleets, and ensuring data accuracy. Support real-time data services: Help ensure the reliability, performance, and observability of the team's core services that process real-time data at scale. Locations Positions available in Montréal, Toronto, Vancouver, San Francisco, and New York.

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.

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.

About AirwallexAirwallex stands out as the premier unified payments and financial platform tailored for global enterprises. Leveraging our distinctive blend of proprietary infrastructure and advanced technology, we empower over 200,000 businesses around the globe, including notable names like Brex, Rippling, Navan, Qantas, and SHEIN, with comprehensive solutions to oversee everything from business accounts to payments, spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne, we are proud to have assembled a team of over 2,000 of the most talented and innovative individuals in the tech sphere across 26 global offices. With a valuation of US$8 billion and support from world-renowned investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of revolutionizing the global payments and financial landscape. If you are eager to engage in the most ambitious work of your career, we invite you to join us.Attributes We ValueAt Airwallex, we seek dynamic builders with an entrepreneurial spirit who desire to make a substantial impact and experience accelerated growth. You will bring strong expertise and critical thinking skills, driven by our mission and operating principles. You are quick to act with sound judgment, inquisitive, and able to make decisions based on foundational principles, balancing speed and thoroughness.You possess humility and a collaborative mindset; transforming zero-to-one concepts into tangible products, ensuring that you “get things done” from start to finish. You leverage AI to enhance your efficiency and expedite problem-solving processes. Here, you'll confront complex, high-stakes challenges alongside exceptional colleagues and advance your career as we shape the future of global banking. If this resonates with you, let’s create what’s next together.About the TeamThe Strategic Data Science team equips Airwallex’s Leadership with the necessary data, tools, and insights to amplify our rapid growth trajectory. We collaborate across all business sectors, providing a holistic perspective on what the company should prioritize. Our team’s expertise encompasses the entire data stack, allowing us to tackle intricate data challenges that will define the future of global fintech. The team is expanding swiftly, with members currently located in the US, China, and Singapore.Discover more about the data science team in this blogWhat You’ll DoAs a Staff Data Scientist on the GTM team, you will be instrumental in using data to inform strategic decisions and drive initiatives that enhance our market position and operational efficiency.

About Owner.comOwner.com is revolutionizing the growth trajectory of local restaurants through advanced AI technology.Our AI solutions are meticulously designed to enhance SEO, marketing strategies, and online ordering processes, ultimately boosting first-party orders. Unlike other companies that burden small business owners with complex software, Owner.com provides a streamlined, expert-driven system that guarantees results.Think of us as your dedicated team of engineers and marketers, empowering independent restaurants to compete with larger chains.Our VisionInitially focused on helping independent restaurants thrive online, our mission extends to all local businesses facing similar challenges.In an era where massive tech corporations threaten local business survival, we are committed to leveling the playing field.Once we perfect our solutions for restaurants, our goal is to expand our services across various local business sectors.We envision a future where millions of local business owners leverage our technology to excel in the digital landscape.Discover our Series C memo here →Our TractionSince our inception in 2020, we have generated tens of millions in revenue and processed over half a billion dollars in online orders. One in five Americans has interacted with an Owner.com website.More significantly, we have supported over 20,000 restaurant owners, saving them close to $200 million in fees.Our TeamOur dynamic team, composed of top talent from renowned companies in the SMB software space, is poised for rapid expansion as we continue to grow alongside our customers.

Role overview Pearl Health is looking for a Staff Data Scientist to focus on Clinical Performance. This role is open to candidates in San Francisco, New York City, Boston, or remote locations. What you will do Analyze complex healthcare datasets in partnership with teams across the company Develop predictive models aimed at supporting better healthcare delivery and outcomes Use data-driven methods to enhance clinical performance Contribute analytical insights that help guide clinical initiatives Requirements Experience in data science, with a preference for backgrounds working with healthcare data Ability to build models and extract insights from large, complex datasets Strong collaboration skills with both technical and non-technical colleagues Interest in improving healthcare through data-driven approaches

About MeshAt Mesh, we empower consumers to transact with any asset effortlessly. With trillions of tokenized assets currently untapped for daily commerce, we are determined to bridge this gap. Our platform makes cryptocurrency payments not only reliable but also practical and widespread. By combining a robust orchestration engine with an intuitive consumer application, we are enabling liquidity for the global economy. Supported by prominent investors such as PayPal Ventures, Paradigm, and Galaxy Ventures, we are laying the groundwork for the future of finance. Join us on this exciting journey!OverviewWe are on the lookout for a skilled and experienced Staff Full Stack Software Engineer (Web3) who possesses a solid background in developing modern web applications and scalable backend infrastructures. In this pivotal role, you will be instrumental in the design, development, and maintenance of our cutting-edge software solutions, which include integrating Web3 capabilities like wallet connections, signing processes, and on-chain/off-chain interactions. Mesh operates globally, with its headquarters in San Francisco, California. You will collaborate closely with Engineering and Product teams across North America, Europe, and India.What You'll DoDesign, construct, and manage production-grade Web3 systems utilized by customers at scale.Take ownership of features throughout the entire lifecycle, covering frontend, backend, and on-chain elements, leveraging your strengths.Lead the design and execution of intricate workflows involving wallets, transactions, settlements, and orchestration.Collaborate closely with product, design, and external teams to transform vague requirements into solid technical solutions.Enhance system reliability, security, and performance across distributed and on-chain components.Mentor fellow engineers and contribute to engineering best practices, architecture evaluations, and technical guidance.Shape the roadmap, spearhead significant technical projects, and extend your influence across teams.Who You Are8+ years of professional experience as a Full-stack Web3 Engineer with proven expertise in frontend, backend, and on-chain components, confident in managing systems from start to finish.Hands-on experience with Web3 essentials, such as wallet integrations, dApp development, blockchain RPCs, and on-chain/off-chain payment and settlement processes.Knowledgeable about DeFi primitives (e.g., DEXs, swaps, lending, trading platforms) and their operational nuances.

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.