About the role

We are looking for a hands-on data scientist to work with our team of passionate and innovative engineers to integrate intelligence into the search platform and local services behind our real estate site and mobile apps. This role will involve close collaboration with engineering and product development. You'll work with a wide range of large-scale data related to properties and local info, at the core of consumer-facing products and the Trulia experience.

Trulia s unique position within Zillow Group provides advantages for engineers who want to make a huge impact. We operate like a start-up within a large organization, with the mandate to innovate and build cool, consumer-facing products, while enjoying the benefits and resources that Zillow Group offers. Our engineers are allowed to focus on building products that make it easy and enjoyable place to live, for millions of people.



About the team

Trulia s culture is one of the company s biggest strengths. At Trulia people treat each other with respect and compassion, together cultivating a culture of collaboration, learning, accountability and fun. There s a dedication to understanding the whole person, helping to build a collegian, trusting environment.

Many ideas are created organically, during day-to-day work, and our engineers have a process for gathering them in a central system and vetting them as a team. One of the most popular institutions within the company is Innovation Week, a company-wide week devoted to experimenting with new ideas each quarter.



Who you are

  • Problem solver, beyond algorithms and data structures
  • Strong background or experience in information retrieval, data mining, machine learning or statistics
  • Adept in data analysis, able to synthesize and interpret metrics, perform both recurring and ad hoc analyses, and present findings to cross-functional key partners
  • Proficient in Java and/or Scala or Python
  • Industry experience in search ranking/relevance or data science
  • Exposure to Hadoop, MapReduce, Spark or other Big Data platforms
  • Background in search engines, and ideally hands-on experience with Apache Solr or Lucene
  • Practical knowledge of NLP and search personalization techniques
  • Experience building highly scalable systems powering a high-traffic consumer site
  • Familiarity with building and deploying data pipelines and services in AWS


Associated topics:
data analyst, data analytic, data center, data integration, data integrity, data scientist, data warehouse, database administrator, etl, sybase

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