Data Scientist - Remote USA

ICF is hiring a Junior Data Scientist for its Health Engineering Systems team. The role supports data exploration, analysis, modeling, validation, and visualization, and involves turning data into actionable insights for technical and non-technical stakeholders.

What you'll do:

• Use SQL and Python to extract, clean, transform, and analyze structured data from PostgreSQL and other approved sources
• Perform exploratory data analysis to identify patterns, trends, anomalies, and data-quality issues
• Assist with the development, testing, and documentation of statistical analyses, machine-learning models, and analytical workflows
• Develop and support notebooks and repeatable analytical workflows in Databricks
• Create and maintain clear visualizations, datasets, and reports for DataConnect using AWS QuickSight
• Validate analytical outputs and document assumptions, methods, limitations, and results
• Partner with data engineers to define data needs, resolve quality issues, and improve the usability of analytical datasets
• Translate business questions into measurable analyses with guidance from senior team members and stakeholders
• Write reusable, version-controlled code and basic unit tests for analytical functions and data transformations
• Present findings through concise written summaries, visualizations, and team demonstrations
• Follow established standards for data privacy, security, governance, and responsible use of data
• Participate in Agile planning, refinement, peer reviews, and continuous learning activities

What they're looking for:

• Bachelor's degree
• 2+ years of experience using Python for data analysis, data preparation, and statistical modeling
• Candidate must be able to obtain and maintain a Public Trust clearance
• Candidate must be authorized to work in the United States
• Have lived in the United States for three full years out of the last five years
• Bachelor's degree data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative field
• Academic, internship, project, or professional experience using Python for data analysis
• Foundational SQL skills, including joins, aggregations, filtering, and data validation
• Understanding of core statistics, data preparation, exploratory analysis, and model-evaluation concepts
• Ability to communicate analytical methods and findings clearly in writing and presentations
• Ability to work collaboratively, manage assigned tasks, and incorporate feedback
• Experience with PostgreSQL or another relational database platform