Senior Data Scientist Trust Safety at Opendoor

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. 

About the Role:

A Senior Data Scientist focusing on trust and safety will own the future of intelligence that protects the physical security of Opendoor’s – totaling billions of dollars – housing assets. This individual will partner with Product, Engineering, and Operation teams to drive the business forward with data. They will build machine learning/optimization models to help Opendoor detect and prevent malicious activities, while ensuring safe visits for our customers and agents when occupying our homes. This individual will play a critical role in continuing to develop Opendoor's brand recognition as a safe and trustworthy platform that fulfills residential real estate needs.



As a Senior Data Scientist, you will:

Define the data strategy and design the next generation intelligent systems to improve our home security and operations practices
Propose optimal detection sensor mixes and human-machine interacted risk prevention strategies
Build models and policies to detect risky patterns from various data sources
Become a domain expert in real estate and home operations



We’re looking for teammates who have:

Expertise in statistical inference and machine learning modeling
Proficiency in working with complex and fast-evolving data sets
Strong written and verbal communication skills to influence non-technical audiences with analytical insights
5+ years of industry experience post academia, with advanced degree in a quantitative field
Proficiency in SQL or any other database languages and numeric programming in Python, R or other languages



We’d love if you have any of the following skillsets:

Fraud detection or risk management
Working with hardware or sensor data
Optimization of resource allocations 
Algorithm assisted human decision systems
Practical industry experience in data science in physical security space



More About Us:

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.


We Offer the Following Benefits and Perks:
- Full medical, dental, and vision with optional 85% coverage for dependents
- Flexible vacation policy
- Generous parental leave
- Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.

Opendoor Values Openness:

Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.