Staff Data Scientist - Machine Learning
realtor.com
Vancouver, BC
At realtor.com, we process terabytes of data every day, and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. We aim to radically simplify home buying/selling and help more people achieve the American dream on our realtor.com ( http://realtor.com/ ) website and mobile apps.
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We seek a highly seasoned Data Scientist to join our data science program and help develop it to its full potential. As a key member of the data science team, you will be responsible for the development of innovative concepts, research, predictive modeling and machine learning solutions to improve consumer experience, professional software and drive revenue growth.

Responsibilities:
  • Building machine learning solutions on realtor.com's wealth of data including consumer web and mobile behavior and North America's most comprehensive and up-to-date listings and properties data set.
  • You will work on structured and unstructured data, such as images, text, etc..
  • Effectively partner with product and engineering teams to build new data driven and machine learning based features
  • Work closely with A/B testing team on multivariate tests and design of experiments to measure product and design features, with focus on improving engagement, retention, and conversion.
  • Select, apply, and tune a diverse set of tools to coherently solve challenging business goals by developing both predictive and explanatory models
  • Create automated learning systems that gracefully scale to increasing complexity and expectation
  • Mentor a team of data scientists on data exploration, machine learning and developing data-based products
  • Work with a sense of ownership and urgency, advocate for experimentation based, agile culture.
Requirements:
  • MS or PhD in computer science, statistics, mathematics, operations research, quantitative analysis, economics or related field is required.
  • 4+ years of relevant experience in data science, data analytics, or applied statistics,
  • Experience with machine learning, data mining, statistical modeling tools and underlying algorithms
  • Experienced in Python, R, Spark, or other languages and frameworks appropriate for large scale analysis of numerical, textual, image, and video data
  • Strong skills in data gathering, massaging and feature engineering
  • Working experience with relational databases and SQL
  • Experience with experiment design and A/B and multivariate tests
  • Experience and proven track record developing online data products
  • Strong creative thinking and problem solving skills
  • Excellent oral and written communication and presentation skills
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