Lead Data Scientist – Experimentation

Key Skills

Java Programming, Design of Experiment, Python Programming, Database, SQL, Machine learning techniques, Data science techniques, R Programming

Job Description

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.

About the Team

As the Experimentation Lead Data Scientist at Opendoor, you will collaborate with the rest of our Data Science & Analytics organization to drive more and better learnings across our key business areas. You’ll partner with Engineering, Product, Design, and Operations leaders to identify key questions fundamental to the growth and health of each domain area, and help them craft scientific yet pragmatic learning agendas. You’ll lead data scientists and analysts to continuously improve our methodology, process, and culture to effectively execute experiments and meet growing experimentation demand from cross-functional teams.

Role Responsibilities

• Develop a deep understanding of the landscape of causal learning at Opendoor
• Partner with cross-functional business owners to identify key questions and opportunities, and construct pragmatic agendas to guide hypothesis-based learning strategies to answer these questions
• Collaborate with other data scientists, data analysts, and software/data engineers to improve the processes, knowledge, and tools to support growing business demand for high-quality experimentation planning and execution
• Make recommendations on how to grow Opendoor as a learning organization to executive leadership
• Become an expert in experimentation practices across online and offline environments, especially in the real estate technology domain

Skills Needed

• Expertise in statistical inference and experiment design and analysis
• Strong product and business sense to dive deep into new domains and identify patterns and opportunities
• Outstanding written and verbal communication skills to influence non-technical audiences and collaborate with technical teammates
• Comfort with ambiguity and driving impact in a fast-paced environment
• 5+ years of industry experience designing, developing and shipping ML systems post academia
• Proficiency in numeric programming (Python and/or R) as well as SQL or any other database languages
• Advanced degree in a quantitative field

Bonus points if

• Hands-on experience building internal experimentation platforms or customizing commercial experimentation tools for business-specific use cases
• Quasi-experimental design and causal inference analysis in situations where data sizes are limited or controlled experiment isn’t feasible

For CO Residents Only, and in accordance with C.R.S. Sec. 8-5-101 et seq., the estimated base salary range for this role is $132,000-$171,000 per year. The estimated range is meant to reflect an anticipated salary range for the position in question based upon market data and other factors, all of which are subject to change. Individual pay is based upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and other available benefits, please speak to the recruiter if you decide to apply for the role and are selected for an interview.