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# Data Scientist/Engineer

- **Company:** TAD PGS, Inc.
- **Location:** Washington, DC, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Data Visualization, Apache Hadoop, Apache Hive, Machine Learning, Power BI, Tensorflow, Tableau (Software), Google Cloud, Pytorch, Apache Spark, Deep Learning, SC Clearance, Matplotlib, Information Technology, Data Pipelines, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9242671/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 analysis and experimental design.
 * Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
 * Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment.

Preferred Qualifications:

 * Experience with big data technologies such as Hadoop, Spark, or Hive.
 * Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
 * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

## 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 performance indicators (KPIs) and metrics to evaluate model performance.
 * Present findings and recommendations to stakeholders through clear and concise reports and visualizations.
 * Stay current with emerging technologies and methodologies in data science and big data analytics.