Data Scientist

Company Name:
Location: San Francisco, CA
Date Posted: 07th Feb, 2017
  • 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.




  • 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.