As a Data Scientist at Opendoor, you will build pricing models and frameworks, run experiments, and collaborate with teams to enhance pricing accuracy and business strategy.

Develop and deploy AI-powered analytics tools, build proactive intelligence systems, and drive leverage across the business, impacting decisions with data.

The Senior Manager, Performance Marketing will lead cross-channel media planning, optimize campaigns, manage agency relationships, and enhance brand performance. The role includes driving testing and measurement while ensuring clear communication with stakeholders.

Lead end-to-end partner CRM for agent/channel lifecycle across email, SMS, and push. Build multi-channel, AI-powered personalization and automated workflows, run A/B and multivariate tests, implement segmentation and lead routing, and partner with Sales, Analytics, and Creative to drive partner engagement, referrals, and lifetime value while reporting on performance and ROI.

The Senior Paid Search Manager will lead paid search strategy and execution for Google Ads and Microsoft Ads, focusing on AI-driven techniques, experiment design, and cross-functional collaboration for performance enhancement.

The Software Engineer will lead the design and implementation of ML workflows, focusing on building, deploying, and maintaining ML systems for pricing. Responsibilities include managing data pipelines, collaborating with cross-functional teams, mentoring engineers, and improving ML lifecycle processes.

The role involves designing and implementing ML systems for pricing, managing data pipelines, and improving model performance and reliability. It requires collaboration with cross-functional teams and mentorship for engineers.

As a Senior Research Scientist, you will develop and deploy machine learning models, focusing on pricing systems and integrating structured and unstructured data to improve decision-making.

Lead product-focused analytics to drive consumer and seller experience: perform deep statistical analyses, design and run A/B and multi-armed bandit experiments, build scalable data pipelines and dashboards, partner with cross-functional teams, and present insights to executive leadership.

Design and build AI-driven automation and integrations for financial workflows and ERP systems. Partner with finance stakeholders to identify automation opportunities, implement reliable data pipelines and observability, and apply software engineering best practices to production financial systems.

Lead analytical initiatives in pricing strategy through statistical models, A/B testing, and data-driven insights to improve business outcomes.

The Senior Full Stack Software Engineer will develop user-focused software features, manage end-to-end functionality, and ensure high-quality code. Responsibilities include collaborating with cross-functional teams while driving best practices and technical excellence.

Lead investor relations initiatives, drive financial narrative, manage investor communications, and oversee financial modeling and presentation preparation.

Develop and implement AI-driven security systems and workflows, mentor engineers, and ensure secure operational practices. Focus on cloud security and automation.

As a Data Scientist at Opendoor, you'll drive customer growth through machine learning, experimentation, and analytics, influencing significant investment decisions and optimizing strategies across the company.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

The Principal UX Designer will lead design strategy, mentor junior designers, influence product strategy, and simplify complex problems while ensuring usability and accessibility across products.

The Software Engineer will develop and maintain backend services in Go for pricing algorithms, optimize SQL queries, and build web applications using React and TypeScript.

The role involves leading marketing operations with a focus on automation and analytics, implementing AI tools, managing tech stacks, and optimizing campaigns.

The role involves enhancing ML models and architectures for pricing and valuation systems. Responsibilities include deploying AI across various data types and collaborating with cross-functional teams to improve model training pipelines.