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Data Scientist

Company Name: Lending Home
Location: San Francisco, CA
Date Posted: 04th Jun, 2017
  • Define, create, and improve metrics and dashboards that precisely and accurately measure the pulse of the business
  • Proactively initiate in-depth, rigorous analysis to derive meaningful insights the business can clearly act upon
  • Drive improvements in business outcomes by testing new and different strategies through systematic planning and execution of experiments
  • Continually explore and iterate statistical models and features to advance our understanding of key underlying business drivers
  • Build production grade machine learning pipelines and data products that solve critical, complex problems and deliver business value
  • Identify, research, and analyze new data sources that complement and enrich the quality of the data platform
  • Support ad hoc analysis requests


  • A graduate degree in Computer Science, Statistics, Math, or related quantitative discipline
  • Excellent grasp of fundamentals in statistics and probability
  • Expertise in SQL and proven comfort and an intellectual curiosity for working with large sets of data
  • Proficiency in coding and software engineering concepts. Fluency in Python/R preferred
  • Experience with basic classes of machine learning techniques and algorithms (e.g. regression, classification, boosting, clustering, time series, NLP)
  • Ability to partner, collaborate, and communicate well with a diverse set of colleagues, both technical and non-technical, at all levels
  • A resourceful and pragmatic approach to problem solving and recognition that the best solutions are sometimes the simplest
  • Experience in Hadoop/Spark or other distributed parallel computing paradigms is a plus
  • Ability to transform technical analysis into easily digestible visualization is a plus