Data Scientist Remote USA

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.

Our Health Engineering Systems (HES) team partners with customers to turn data into clear actionable insights. We are seeking a Junior Data Scientist to support data exploration analysis modeling validation and visualization using PostgreSQL SQL Python Databricks and the DataConnect reporting environment using AWS QuickSight.

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

Bachelors 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

Bachelors 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.

Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactfor assistance.

Working at ICF

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: