• Develop models, measurement frameworks, and data products that improve how listings are ranked, recommended, and discovered. • Develop models and analytical frameworks that improve listing ranking and recommendation. • Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements. • Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization.

• Design, develop, and deploy AI and machine learning models using advanced frameworks and cloud services (AWS, GCP, or Azure). • Implement model versioning and monitoring to ensure data quality, reliability, and performance. • Stay current with latest research in Agentic AI, LLMs, and emerging AI technologies. • Collaborate with cross-functional teams to integrate AI solutions into business applications. • Build and maintain high-quality, secure, and scalable data pipelines to support AI initiatives.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You are passionate about transforming complex data into actionable insights and tools that make people more efficient. You thrive on the challenge of gathering, cleaning, and analyzing diverse data sources to find the "hidden truth" that drives real customer value. Your ideal role involves using a blend of computer science, statistics, and machine learning to translate information security data into organizational knowledge. While you enjoy research, you get the most energy from seeing your work—from predictive models to Gen AI applications—directly impact cybersecurity outcomes. We’re looking for a Data Scientist who wants to automate routine decisions and empower our humans to be more efficient. You’ll work alongside our Detection and Response (D&R) Engineering and Security Operations Center (SOC) teams to deliver quick, iterative wins that improve how we detect and investigate cybersecurity incidents. Our team values collaboration and a team-focused mindset. If you are an adaptable problem-solver who enjoys working with others to turn noisy data into clear capabilities, we should talk! Qualifications - Ability and desire to collaborate and work with teams throughout the organization to foster research and innovation - Ability to communicate technical data science concepts to various audiences, especially non-data science experts - Passion for finding order and meaning in large, chaotic data sets and amorphous problem domains - Deep proficiency with Python (pandas, numpy, sklearn) and SQL for model development - Knowledge of statistics (distributions, hypothesis testing, probability, etc.) - Proficiency in popular data science and visualization frameworks such as scikit-learn, plotly, pandas, and numpy, and the underlying statistics that drive them - Understanding of data engineering and proven experience with cloud deployment best practices - 3+ years of data science experience creating models, analyzing data, drawing conclusions, recommending next steps, and summarizing key results to stakeholders - A Bachelor’s degree in Math, Statistics, or Computer Science (or equivalent experience in AI/ML) Requirements - Support our security analysts by continuously improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and Gen AI - Work across our operations, engineering, and service delivery teams, ensuring Expel can easily deploy, monitor, and manage all of our machine learning capabilities - Drive business decisions by translating data insights into clear, actionable knowledge for the organization - Foster an atmosphere of experimentation, continuous learning, and improvement - Maintain and enhance our existing models while supporting new data science initiatives - Contribute to Expel’s external voice through blog posts and conference speaking Benefits - Unlimited PTO - Equity for everyone - Work location flexibility - Up to 24 weeks of parental leave - Excellent health benefits Company Description At Expel, our employee benefits reflect our commitment to our crew.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You will join the Search and Personalization Data Science team, which drives how guests discover homes on Airbnb. Search is the core entry point to the marketplace, and our team works at the intersection of ranking systems, marketplace dynamics, and emerging AI-powered search experiences. - Develop models, measurement frameworks, and data products that improve how listings are ranked, recommended, and discovered. - Your work will focus on three key areas: - Develop models and analytical frameworks that improve listing ranking and recommendation, incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions. - Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements, ensuring product decisions are grounded in rigorous measurement and causal inference. - Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization, enabling the next generation of AI-powered search experiences at Airbnb. - As a Staff-level leader, you will also: - Partner closely with Relevance Engineering and Product to launch high-impact search improvements. - Set technical direction for modeling and experimentation in Search and Personalization. - Mentor other data scientists and raise the bar for building durable data products. - Connect marketplace thinking, modeling, and experimentation across teams to guide product strategy. Qualifications - 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. Requirements - Cross-functional collaboration: 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: Engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals. - Focus time: Build machine learning models, develop inference frameworks, and build prototypes and other data products to scale your work. - Autonomy: Apply and investigate state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems. - Regularly present work internally to engineering, product, and business strategy stakeholders to iterate and generate excitement on roadmap progress. Benefits - Base pay range: $194,000 — $240,000 USD. - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Company Description 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.