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# Data Scientist/Engineer

- **Company:** TAD PGS, Inc.
- **Location:** Washington, DC, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Big Data, Databases, Data Visualization, Decision Support Systems, Apache Hadoop, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Standard Sql, Tableau (Software), Pytorch, Apache Spark, Deep Learning, Matplotlib, Information Technology, Data Pipelines, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9225548/data-scientistengineer

## About the Role

We are seeking a highly skilled and motivated Data Scientist/Engineer to join our team in Washington, DC. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, with the ability to translate complex data into actionable insights., * Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

 * Proven experience with programming languages such as Python, R, or Java.
 * Strong understanding of statistical methods and machine learning algorithms.
 * Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
 * Excellent analytical and problem-solving skills.
 * Strong communication and presentation skills.

Preferred Qualifications:

 * Experience with big data technologies such as Hadoop, Spark, or AWS.
 * Knowledge of SQL and database management systems.
 * Familiarity with deep learning frameworks such as TensorFlow or PyTorch.

Clearance Requirements:
This position requires an active Top Secret/SCI clearance with polygraph.

## Description

* Develop and implement advanced data processing pipelines to clean, transform, and analyze large datasets.
 * Design and deploy machine learning models to predict trends and identify patterns in data.
 * Collaborate with cross-functional teams to define key metrics and KPIs for data-driven decision making.
 * Present findings and recommendations to stakeholders through clear and concise reports and visualizations.
 * Stay current with industry trends and emerging technologies in data science and analytics.