Data Scientist

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $81.5k - $138.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 0%

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ICF

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1969

💼 Consulting

🏛️ Government

🏥 Healthcare

💰 $29M Grant on 2023-03

Consulting • Government • Healthcare

ICF is a global consulting firm founded over 55 years ago that partners with governments, businesses, and communities to deliver data-driven, technology-enabled solutions for complex public- and private-sector challenges. Its work areas include digital modernization, data analytics, resilience and adaptation, energy planning, federal health programs, disaster management, and infrastructure and transportation support. ICF provides consulting, program implementation, and advisory services to drive measurable outcomes and build community resilience.

📋 Description

• 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

• 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 reside in the United States, be authorized to work in the United States, and 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 • 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