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 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 Staff Infrastructure Engineer will design and develop cloud infrastructure, optimize operations, lead Kubernetes management, implement IaC, and mentor engineers.

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.

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

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.

Lead end-to-end partner CRM for agent and partner channels: design and execute multi-channel lifecycle campaigns (email, SMS, push), implement AI personalization and automation, run experiments, partner with Sales/Analytics, and report on engagement, referrals, and LTV to scale partner engagement and retention.

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.

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