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# Data Scientist

- **Company:** E-INFOSOL LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Extract Transform Load (ETL), R (Programming Language), Python (Programming Language), Machine Learning, Software Systems, Cloud Platform System, Information Technology, Visual Basic Language
- **Published:** September 18, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9171908/data-scientist

## About the Role

Ablility to go through a Public Trust investigation
Master's degree or PhD in machine learning, mathematics, data science, computer science, or closely related field.
Minimum 10 years of applied ML/AI experience.
Demonstrated experience developing and validating predictive models.
Government or safety-critical system experience.
Familiarity with NIST AI RMF., Demonstrate a high level of proficiency in Java, Python, R, and / or Visual Basic.
Great communication skills.
Expert at being able to discuss and derive real requirements from non-technical customers and then build into related tasks.
Highly motivated, interested in Big Data and Cloud environments/Amazon Web Services.
Experience with CI/CD pipelines.
Willingness to learn new skills and technologies on the fly.
Ability to communicate with customers to refine requirements.
Ability to deconstruct customer requirements into delineated tasks.

## Description

The Data Scientist will collaborate with customers, often engaging directly with non-technical personnel, to understand their data science related needs, suggest solutions, and complete work in a timely manner. This role is extremely hands-on and will be heavily involved in the day-to-day technical work.

Lead and/or design machine learning, statistical analysis, and data analysis tasks.
Leverage existing and / or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights.
Interpret data, identify features, and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation.
Develop and carry out quality control and assurance tasks.
Develop write-ups, visualizations, infographics, and charts to communicate results and associated findings.
Automate routine workflows and data analysis steps such that customers can self-service their needs.


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