Work with product teams to investigate user behavior and develop data strategies (e.g., personalized recommendations) to improve product performance and ultimately health outcomes
  Leveraging data to measure and improve our offerings through metric development and instrumentation, data investigations, designing and interpreting experiments, exploratory research, and impact evaluation
  Proactively identify opportunities and solve challenging business problems with a variety of data tools in a fast-paced, collaborative environment
  Use predictive analytics and classical modeling techniques for statistical inference and creation of data insights
  Work in a variety of data environments, e.g., Hadoop HDFS, SQL, Mongo, etc.
  Focus on quality and process to ensure the integrity of our analytic output

  Pursuing a Bachelors or Masters degree, or equivalent practical experience, in a data science program or technical analytics
  Experience driving analytic projects and investigations to produce measurable results
  Familiarity with data-driven product development (A/B testing, time series analysis, propensity modeling, etc.); you tailor your approach to the problem rather than trying to apply the same techniques everywhere
  Familiarity solving business challenges with data using scripting languages (such as Python or R) and SQL
  Experience in a big data environments, like Hadoop or Spark, is a plus