Senior Decision Scientist

Location: 

Strong preference for candidates based in San Francisco.

What You’ll Need

• 5+ years of experience post academia, working in an analytical role – leading data discoveries, strategies and discussion with non technical stakeholders in the business
• Proficiency in SQL and data visualization tools such as Mode, Tableau or Looker
• Strong written and verbal communication skills to influence non-technical audiences with analytical insights and data visualizations
• Comfort working with complex and fast-evolving data sets
• System thinking and creativity to solve complex problems by going deep and understand its core drivers
• Experience with experimentation and A/B testing
• Bonus points if providing data strategies and insights at a data-driven tech company

About the Role

• As a Senior Decision Scientist at Opendoor, you will be part of a centralized Decision Science team in our Chief Data Officer organization. You will partner with customers across Operations, Product, Marketing, and Pricing to drive our business forward with recommendations you uncover through data. You will own analytics for one or more of Opendoor’s surface areas and partner with business owners to help shape its direction. Decision Scientists monitor the health of their area, plan and execute A/B tests, and make data-driven recommendations to help Opendoor scale

What You’ll Do

• Become the go-to data analytics owner on a team of Product Managers, Operations Managers, Software Engineers, and Designers for a specific domain area
• Develop metrics and dashboards to streamline data reports for everyone from Operators to senior leadership, on critical business results and drive the impact of data-driven decisions
• Partner closely with internal stakeholders to ideate, opportunity size, and execute strategic business initiatives that impact product features – ultimately, improving the Opendoor experience for our customers and users
• Improve analytics quality and efficiency in collaboration with Data Scientists, Software Engineers and Data Engineers
• Become a domain expert in real estate

Bonus points if you have

• Experience providing data strategies and insights at a data-driven tech company

Compensation: 

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The U.S. pay range for this position is $158,400-$198,000 annually. Pay within this range varies by work location and may also depend on your qualifications, 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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