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# Senior Data Scientist

- **Company:** OPS Consulting
- **Location:** Reston, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $49,997.0 - $290,004.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Data Analysis, Data Cleansing, Information Engineering, Statistical Hypothesis Testing, Python (Programming Language), Linear Regression, Machine Learning, Data Streaming, Information Technology, Data Analytics, Data Management, Programming Languages
- **Published:** August 15, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pbytswls4a

## About the Role

* Bachelor's degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related quantitative field.
 * Minimum of Ten (10) years of relevant experience.
 * Hands-on experience scripting in Python.
 * Strong understanding of statistical methods, machine learning algorithms, and AI concepts.
 * Experience with data engineering practices and analytics workflow development.
 * Excellent problem-solving abilities and strong communication skills.

Security Clearance: A current government clearance, background investigation, and polygraph are required.

## Description

* Design, build, and deploy machine learning models and advanced analytical algorithms to support business objectives.
 * Develop scalable data science solutions, from conceptualization to production-level implementation.
 * Write clean, efficient, and maintainable code using programming languages such as (e.g., Python, Java).
 * Conduct rigorous statistical analysis, including variability assessment, sampling error evaluation, inference, hypothesis testing, exploratory data analysis (EDA), and application of linear modeling techniques.
 * Perform comprehensive data management activities such as data cleaning, transformation, mining, modeling, and quality assurance.
 * Apply artificial intelligence concepts and modern machine learning techniques to solve complex business challenges.
 * Develop and maintain end-to-end data analytics workflows, ensuring robust data flow architectures and efficient processing pipelines.
 * Clearly communicate methodologies, insights, and recommendations to both technical and non-technical audiences through reports, presentations, and visualizations.


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