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Data Scientist

Skills
SQLData CleaningData ScienceDatabasesDatasetsKomodoPyspark
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Analytical mindset and ability to solve complex problems with limited supervision
  • Three years of industry experience with Python and large databases using SQL
  • Familiarity with PySpark and R
  • Comfortable communicating complex data science topics to audiences of variable technical capability
  • Proficient with ML modeling advanced statistics biostatistics algorithm design ML software packages
  • Strong business acumen demonstrated by understanding how analytics insights tie into business goals
  • High motivation work ethic and self-discipline to organize and complete tasks
  • Ability to work well independently and collaboratively in a fast-paced agile environment

Nice to have

  • Interest in growing skills as a Data Scientist
  • Experience in healthcare analytics

Day to day

  • Build analytics pipelines tables and complex logic for data projects addressing customer needs
  • Deliver high-value data analytics projects
  • Implement client solutions using techniques like advanced statistical analysis or ML
  • Partner with customer-facing teams to translate client requirements into analytics to solve client needs