Data Scientist

Opendoor makes it possible to sell a home online in minutes, removing all of the headache, uncertainty and risk from the transaction. Opendoor is headquartered in San Francisco, Calif. and has received a total of $30 million in funding from Khosla Ventures and GGV Capital, along with a large group of angel investors.

Work in a fast growing startup with unlimited opportunity and lots of room for growth and advancement. We’re on a mission to simply residential real estate transactions nationwide by bringing world-class software, data science, and design to an age-old industry.

We’re seeking an exceptional Data Scientist to join us in building data products at the core of the company. We build valuation models, predictive modeling infrastructure, and lead growth experiments. Day to day, it’s a mix of machine learning, crowdsourcing, exploratory data analysis, feature extraction, and software engineering.

• Improve our industry-leading home valuation model using millions of real-estate transactions and complementary datasets.
• Rapidly prototype features and predictive models.
• Build ML pipelines in production.
• Identify, research, and analyze new data sources to improve model accuracy.
• Become a domain expert in real-estate.
• Coordinate with product, engineering, and operations to understand impact and trade-offs of modeling improvements.

We’re looking for teammates who bring:

• Commitment to rigorous analysis and production-quality code
• Passion for building solid data infrastructure
• A love of tackling complexity in real-world datasets such geo data and transaction data
• Experience in one of Python, R, Java, Scala, Julia; if R or Julia, candidate must be able to make algorithms scale
• Familiarity with basic classes of ML algorithms, concepts in feature extraction and selection
• Ability and desire to communicate your analysis with clarity and precision
• Resourcefulness and pragmatism

Bonus points:

• Competition experience in data mining or machine learning
• You love delighting customers with honest, transparent products and experiences

Who you’ll work with:

Ian Wong

Ian is an Opendoor co-founder who cares about mixing good math with good engineering to solve hard problems. He previously built fraud detection systems at Square and products at Prismatic.

Nelson Ray

Nelson is a data scientist who was formerly on the AdWords team at Google. He enjoys food, wine, and experimentation. He hosts Opendoor’s blind wine tastings and will rank your performance based on the KL Divergence.

Brian Bloniarz

Brian's interested in any problem where computers, data and the real world meet. He's built automated trading systems in stocks and now in houses [hint: houses are more interesting].

… and the rest of our team!