Remote Data Scientist

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CDC Foundation

πŸ’΅ $92k-$134k
πŸ“Remote - United States

Job highlights

Summary

Join the CDC Foundation as a Data Scientist to advance its mission by leveraging data to inform strategic decisions and initiatives in a public health organization.

Requirements

  • Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field
  • Minimum 5 years of relevant professional experience
  • Familiarity with data governance and data protection regulations
  • Proficiency in programming languages such as Python, SAS or R
  • Experience with data manipulation and analysis tools (e.g., SQL, DBT, Pandas, NumPy)
  • Strong analytical thinking and problem-solving abilities
  • Ability to interpret complex datasets and derive meaningful insights
  • Excellent verbal and written communication skills
  • Ability to convey technical concepts to non-technical partners effectively
  • Flexibility to adapt to evolving project requirements and priorities
  • Professional certifications in data science, machine learning, or public health analytics preferred
  • Outstanding interpersonal and teamwork skills; collegial; energetic; and able to develop productive relationships with colleagues, partners, and partners
  • Demonstrated ability to work well independently and collaboratively within teams
  • Experience working in a virtual environment with remote partners and teams
  • Proficiency in Microsoft Office

Responsibilities

  • Work with and understand confidential datasets
  • Work with stakeholders of confidential datasets to understand reporting needs and disclosure risks
  • Identify, document and employ (statistical) data risk management techniques on confidential datasets
  • Generate and utilize synthetic data
  • Work with and understand electronic health and other public health records
  • Document methods and engineering processes especially related to risk management
  • Collaborate with team members and stakeholders to optimize workflows, including reporting
  • Ensure data governance requirements are met with data users

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