About Opendoor:  

Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one.  So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.

As a manager on the Systematic Pricing team, you will:

• Build and lead a team of 5+ Ph.D. level Research Scientists tackling high-impact, high-complexity structural modeling challenges in core pricing.
• Develop new algorithmic techniques and datasets that will enable answering previously unanswerable and new questions.
• Partner closely with engineering, product, and operations stakeholders to deliver on key cross-functional modeling efforts that have a company-wide impact.
• Continue to scale and up-level a highly-committed team via rapid hiring, functional practices, and a culture of excellence.

We’re looking for teammates who have:

• 5+ years of experience in modeling complex phenomena, regardless of training or domain (our team ranges from computational biologists to physicists to econometricians)
• 3+ years of management experience, including managing top-tier research scientists.
• Exceptional ability and judgment in structural modeling, preferably with experience in at least one of the following: stochastic modeling, spatiotemporal modeling, auction theory, portfolio optimization, macroeconomic modeling.
• Exceptional ability to translate between business and technical audiences, especially in summarizing highly technical analyses to non-technical audiences.
• Demonstrated self-sufficiency in complex data environments: operating knowledge of key programming languages (SQL, Python, etc.), tools (Spark, Jupyter, etc.), and so on.
• Passion for people-first management.

Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing.