Data Scientist - Remote USA

United States

Full-time

Remote

$81K/yr - $139K/yr

Entry Level

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.

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Responsibilities

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
Other duties as assigned

Qualification

Required

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
Experience using Databricks, Spark, notebooks, or cloud-based analytics platforms
Experience creating data visualizations or dashboards with AWS QuickSight or a comparable business-intelligence tool
Experience with common Python data-science libraries such as pandas, NumPy, scikit-learn, or PySpark
Familiarity with TypeScript and its use in data applications, dashboards, services, or integrations
Familiarity with Git, code reviews, unit testing, CI/CD, or Agile development practices
Exposure to data governance, metadata, data quality, privacy, or responsible AI practices
Experience working with health, public-sector, or other regulated data environments