Data Scientist – Remote USA

ICF; Reston (VA); Remote; USD 81,000 - 139,000; Full time

Job summary

ICF in Reston, VA seeks an early-career data professional to analyze structured data with Python and SQL, build repeatable Databricks workflows, and visualize results with AWS QuickSight. You will partner with data engineers and stakeholders to translate business questions into measurable analyses while following privacy and governance standards.

Required BS degree and 2+ years in Python data analysis; US work authorization and residence are necessary.

Qualifications

• BS in data science, statistics, mathematics, CS, economics, or related quantitative field
• 2+ years of Python data analysis experience
• Ability to obtain and maintain Public Trust clearance
• US residence and work authorization in the United States

Responsibilities

• Use SQL and Python to extract, clean, transform, and analyze data from PostgreSQL and other sources.
• Perform exploratory data analysis to identify patterns, trends, and data-quality issues.
• Develop and document analyses, ML models, and analytical workflows.
• Create visualizations and reports using AWS QuickSight.
• Collaborate with data engineers to improve data usability and governance.
• Translate business questions into measurable analyses with guidance from senior team members.

Skills

Python

SQL

Data analysis

Communication

Education

Bachelor’s degree

Tools

PostgreSQL

Databricks

AWS QuickSight

Python libraries (pandas, NumPy, scikit-learn)

Git

Job description

Description ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference, and we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference.

This role is well suited for an early-career professional who is curious, detail-oriented, comfortable learning new technologies, and able to communicate findings to both technical and non-technical stakeholders.

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.

Minimum Qualifications

• 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.

What You Will Bring

• 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.

Job Location:

This position requires that the job be performed in the United States. The candidate must reside in the United States, be authorized to work in the United States, and perform all work in the United States. ICF monitors employee work locations, blocks access from foreign locations and foreign IP addresses, and prohibits personal VPN connections.

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting‑edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world’s toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email [e-mail] and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [e-mail]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range

– There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$81,499.00 – $138,549.00

Nationwide Remote Office (US99)