Data Scientist I

Skills
Big DataData MiningData ScienceExploratory Data AnalysisHiveNumpyProduction Execution
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Proven experience in applying machine learning techniques in production environments.
  • Strong expertise in Big Data analysis using tools like Scala/Spark and Python.
  • Excellent reasoning and problem-solving skills.
  • Effective communication and consulting skills catering to a range of stakeholders.
  • Solid grounding in statistical analysis methods.
  • In-depth knowledge of health insurance and managed care models.
  • Experience in financial analysis within healthcare contexts.

Nice to have

  • Scala
  • Spark
  • Python
  • TensorFlow
  • Keras
  • Pandas
  • Numpy
  • Hive
  • Impala

Day to day

  • Apply knowledge and experience to real-world healthcare problems using AI and ML.
  • Build production-level machine learning solutions that reduce healthcare costs and improve outcomes.
  • Work with a vast array of data sources including claims and medical records to develop actionable insights.
  • Collaborate closely with healthcare professionals to achieve aggressive goals and implement solutions.
  • Continually update on the latest developments in machine learning and healthcare industry.

Hiring process

  • Applications assessed on a rolling basis
  • Virtual interviews for all candidates