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Data Scientist

San Francisco, CA

Rally Health is seeking a Data Scientist to work closely with our product teams to improve our products and grow our business through analytics and development of data strategies.


Rally products inform users about their healthcare options and help to engage them in their own healthcare. In this role, the Data Scientist will work with product teams to investigate user behavior and develop data strategies (e.g., personalized recommendations) to improve product performance and ultimately health outcomes. This involves leveraging data to measure and improve our offerings through metric development and instrumentation, data investigations, designing and interpreting experiments, exploratory research, and impact evaluation.


We are able to bring together a rich set of relevant data to do this work including lifestyle and health status information from our health assessment survey; engagement and activity data from our Wellness product; intent data from our provider search product; and direct health information including biometrics and medical and pharmaceutical claims. The Data Scientist will work in close coordination with the product team, applying this data to generate insights and develop data strategies that help our products evolve to better serve our customers and users.



  • Ability to proactively identify opportunities and solve challenging business problems with a variety of data tools in a fast-paced, collaborative environment.
  • Ability to use predictive analytics and classical modeling techniques for statistical inference and creation of data insights.
  • Ability to work in a variety of data environments, e.g., Hadoop HDFS, SQL, Mongo, etc.
  • Experience in SQL and some scripting language (Python, R, etc.)
  • Focus on quality and process to ensure the integrity of our analytic output


  • Graduate of Data Science program or technical analytical experience using data science tools
  • 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

Nice to Have:

  • Healthcare or wellness specific business knowledge and/or experience with behavioral and claims data
  • Experience using ML to solve business problems
  • Experience in a big data environments, like Hadoop or Spark
  • Advanced (post-baccalaureate) degree  in a quantitative field