Senior Data Scientist, Opendoor

• Expertise in statistical inference, study design and machine learning modeling
• Proficiency in working with complex and fast-evolving data sets
• 5+ years of industry experience post academia, with advanced degree in a quantitative field
• Proficiency in numeric programming (Python and/or R) as well as SQL or any other database languages
• Desire to identify, perform, and automate repetitive work to scale the team
• System thinking and creativity to solve complex problems by going deep and understand its core drivers
• Strong written and verbal communication skills to influence non-technical audiences with analytical insights and data visualizations

Desirable

• Build and evolve statistical and machine learning models (e.g. conversion, forecasting, staffing, text mining) that drive business impact
• Partner with stakeholders across leadership to improve business outcomes by monitoring business health, planning and executing AB and Quasi experiments, and making data-driven recommendations to help Opendoor Enterprise product and platform scale
• Provoke trade-offs and prioritize work across a portfolio of potential projects based on impact and scope vs. effort and risk
• Produce convincing structural, causal and data-driven analyses to falsify ideas or move them forward
• Collaborate with Engineering and Product teams to build long-term learning agendas
• Clearly and concisely articulate the business impact of your work
• Work pragmatically at a high cadence to ship modeling and analytical opportunities, such that we generate high learning throughput