Data / Machine Learning Software Engineer

Capital Markets Placement   •  

New York, NY

Industry: Staffing


Less than 5 years

Posted 21 days ago

  by    Julie Bolbas

The goals of the Data Science team:

  • Optimize and validate targeting mechanisms for specific health conditions
  • Improve and optimize our proprietary contextualization, and recommendation engines that handle hundreds of thousands of transactions per second, billions of times each month
  • Collaborate with internal Health experts to ideate and support rapid assessment, analysis, and prototyping of ideas for achievable commercialization

What you will be tasked to do:

  • Research and develop user profiling models to enhance our clinical trial recommendation engine to leverage both online and offline data.
  • Collaborate with Product teams on data-driven products to support clinical trial platform design and delivery.
  • Support and enhance the existing work on health user profiling, prediction, and targeting tools.
  • Contribute on future project on patient/physician identity for cross-device tracking, profiling and targeting.
  • Support existing codebases for data integration and production support for our core models.

What you need to be successful in this role:

  • 3+ years of full-time experience working as a Statistician/ Machine Learning Engineer/ Data Scientist
  • Advanced knowledge of Big Data technologies such as Hadoop, Hive, and Impala
  • Advanced knowledge of Python using the numpy/scipy/pandas/skilearn stack
  • MS/PhD in Astronomy, Physics, Applied Mathematics, Statistics, Machine Learning, Computer Science; or BS with several years of applied machine learning experience


$110K - $130K