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Data Scientist

Company Name: Chartboost
Location: San Francisco, CA
Date Posted: 26th Oct, 2016
  • Develop complex statistical models to predict ad-click and install outcomes and learn from petabytes of data.
  • Develop models and explore features and its influence using Spark MLlib and R and present results. Convert these offline analysis to online models.
  • Develop processes and tools to help team members monitor, debug and analyze model performance and data cleanliness.
  • Develop A/B testing framework, and measure model quality.
  • Work on several data classification problems at petabyte scale data and incorporate back into statistical models.
  • Develop / Solve time series analysis, classification, and clustering problems.
  • Collaborate closely with product & data science teams to build new features and infrastructure
  • Develop tools to assess financial impact of initiatives
  • MS / PhD in Machine Learning, Statistics, Computer Science, Data Mining, Math or any quantitative discipline
  • 5+ years of experience
  • Ad Tech industry experience (mobile ad tech a plus!)
  • Proficiency with Scala, Spark MLlib (or equivalent), Python, R.
  • Experience building statistical models with stream data is a plus.
  • Background with feature engineering and model building.
  • Experience training a model and successfully rolling out to production