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Data Scientist (Python, SQL, Zepplin) - Remote

Remote · USA Full-time New today

ICF, a global advisory and technology services provider, seeks a Data Scientist to join their Health Engineering Solutions team. This role is pivotal in driving success by collaborating closely with clients to improve healthcare quality and cost efficiency for Medicare and Medicaid patients. The team is known for its consistent delivery of quality results. In this role you can expect to have the responsibilities:

  • Document and communicate requirements for data engineers
  • Write Python scripts for ETL and data analysis
  • Validate data and perform SQL data queries
  • Improve data quality checks and documentation
  • Analyze data using Zeppelin notebooks (Scala/Python)
  • Communicate requirements to external partners
  • Engage in scripting and data analysis consistently
  • Participate in Scrum ceremonies and test meetings

This role comes with the following benefits:

  • Equal opportunity employer with inclusive workplace policies
  • Commitment to providing reasonable accommodations
  • Comprehensive benefits in accordance with the Transparency in Coverage Act

This role requires you to have:

  • Bachelor’s degree in a relevant field
  • 5+ years in software or data development
  • 3+ years of coding experience in Python/R
  • 3+ years in a data scientist/analyst role
  • Experience with Zeppelin notebooks
  • 2+ years with any SQL dialect
  • Eligibility to obtain and maintain Public Trust

You would benefit from having:

  • Master's degree with 3 years of experience
  • Experience with Medicare or Medicaid data
  • Proficiency in Spark/PySpark/SparkR
  • Advanced SQL and database management
  • Experience in Git/Github and agile environments
  • Familiarity with Scaled Agile Framework

ICF prohibits the use of AI tools during interviews to ensure integrity. Accommodations for AI use are available upon request. Employees must reside and work in the U.S., and access is monitored to ensure compliance. Apply tot his job Apply To this Job

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