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ICF

Data Scientist

ICF

. Use SQL and Python to extract, clean, transform, and analyze structured data from PostgreSQL and other approved sources .

Posted 10/14/2026full-timeRemote • Virginia • United StatesJuniorMid-Level💰 $81,499 - $138,549 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in SQL and Python for data extraction, cleaning, and analysis, with a strong foundation in statistical modeling and data visualization. Experienced in using Databricks and AWS QuickSight to develop analytical workflows and present findings effectively.

Highest-signal resume keywords
SQL Data AnalysisPython Data AnalysisDatabricks DevelopmentAWS QuickSight VisualizationStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonStatistical ModelingData PreparationExploratory Data AnalysisPostgreSQLData VisualizationPandasNumPyScikit-learn
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
DatabricksAWS QuickSightGitCI/CDAgile Development
Certifications & Qualifications
Public Trust Clearance
Industry Keywords
Data GovernanceData QualityResponsible AIHealth DataPublic Sector Data

Tech Stack

Tools & technologies
AWSCloudNumpyPandasPostgresPySparkPythonScikit-LearnSparkSQLTypeScript

About the role

Key responsibilities & impact
  • 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 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 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 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 written summaries, visualizations, and team demonstrations
  • Follow standards for data privacy, security, governance, and responsible data use
  • Participate in Agile planning, refinement, peer reviews, and continuous learning activities
  • Perform other duties as assigned

Requirements

What you’ll need
  • Bachelor's degree
  • 2+ years of experience using Python for data analysis, data preparation, and statistical modeling
  • Ability to obtain and maintain a Public Trust clearance
  • Must reside and be authorized to work in the United States
  • Must have lived in the United States for three full years out of the last five years
  • Bachelor's degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative field
  • Foundational SQL skills, including joins, aggregations, filtering, and data validation
  • Understanding of core statistics, data preparation, exploratory analysis, and model-evaluation concepts
  • 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 Python data-science libraries such as pandas, NumPy, scikit-learn, or PySpark
  • Familiarity with TypeScript
  • 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

Benefits

Comp & perks
  • Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
  • Equal opportunity employment
  • Benefits information provided under the Transparency in Coverage Act