
5001 - 10000 employees
Founded 1969
🏥 Healthcare
📦 Logistics
📣 Marketing
đź’° $30M Grant on 2021-03
Healthcare • Logistics • Marketing
ICF is a global consulting and technology services company that helps government and commercial clients tackle complex challenges. The firm provides expertise in areas such as Federal IT modernization, energy and utilities, public health, climate resilience, disaster management, and transportation. ICF leverages data and analytics, artificial intelligence, and cybersecurity to deliver innovative solutions. With a strong commitment to corporate citizenship and sustainability, ICF supports social programs and community development, aiming for a sustainable, low-emissions future. The company operates worldwide, with significant presence in Europe through its offices in Belgium, Spain, and the UK.
🔥 12 hours ago
⚔️ Virginia – Remote
đź’µ $81.5k - $138.5k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 1969
🏥 Healthcare
📦 Logistics
📣 Marketing
đź’° $30M Grant on 2021-03
Healthcare • Logistics • Marketing
ICF is a global consulting and technology services company that helps government and commercial clients tackle complex challenges. The firm provides expertise in areas such as Federal IT modernization, energy and utilities, public health, climate resilience, disaster management, and transportation. ICF leverages data and analytics, artificial intelligence, and cybersecurity to deliver innovative solutions. With a strong commitment to corporate citizenship and sustainability, ICF supports social programs and community development, aiming for a sustainable, low-emissions future. The company operates worldwide, with significant presence in Europe through its offices in Belgium, Spain, and the UK.
• 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
• 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
• Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs • Equal opportunity employment • Benefits information provided under the Transparency in Coverage Act
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