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
Since Opendoor first started operating in 2014, we’ve learned a lot about buying, managing, and selling real estate. The Open Exchange business aims to share our learnings by offering our technology and processes to institutional single-family-home investment partners. Open Exchange is uniquely positioned to be the vertically integrated lead, data, and transaction solution – the industry source of truth with the most scalable transaction engine.
In the role of Senior Data Scientist within the Open Exchange Data team, you will focus on developing customer-facing data projects and research. Your work will provide a deep understanding of the dynamics of home sales and rentals, benefiting both Open Exchange and its clientele. You will play a pivotal role in guiding our strategic direction and that of our partners, focusing on optimizing home rentals and sales.
Lastly, you will be on the front lines of our partnerships and brand development, creating content marketing materials, newsletters and pitch decks that highlight our differentiated data and insights, drive our brand, and ultimately enable Open Exchange to win revenue.
Role Responsibilities:
- Develop self-service data products for customers, offering insights into market dynamics and competitive benchmarks for both rental listings and home sales
- Create compelling marketing materials, newsletters, and presentations that articulate our distinct insights and strengthen our brand, driving revenue growth
- Conduct in-depth analyses to uncover success factors and growth opportunities for our partners, highlighting the differentiated advantage of our data
- Build internal analytical tools and dashboards to provide our teams with actionable insights, facilitating strategic business development discussions
- Set standards for excellence in analytical rigor and reproducibility of results
- Establish yourself as a thought leader in the real estate domain
- Elevate the team's technical proficiency through individual contributions and mentorship
Skills Needed:
- 5+ years of industry experience post academia, with an advanced degree in a quantitative field
- Expert economic analyses skills that include the ability to identify macroeconomic trends and interpret individual company performance as well as performance against peers
- Excellence in crafting visual narratives through data visualizations, and constructing comprehensive dashboards to self-serve data insights
- Experience in managing complex and evolving datasets, with a knack for cleaning and transforming data to derive accurate insights
- Expertise with both Python and SQL
- Experience in real estate or financial services
Bonus Points if:
- Experience producing newsletters and/or marketing materials and pitch decks
- A background in consulting or related fields that involve data synthesis, analysis, and strategic recommendation presentation to stakeholders
- Strong written and verbal communication skills to influence non-technical audiences with analytical insights and data visualizations
Location:
Remote roles in the US are available in all states EXCEPT Hawaii, Alaska, Montana, or any US Territories.
Compensation:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The pay range for most locations in the US is $148,000 - $246,000 annually. In the SF Bay Area of California, Seattle, and New York City Metro area the base salary range is $184,000 - $276,000. Pay within the range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.
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