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# Data Scientist in Washington

- **Company:** Energy Jobline
- **Location:** Washington, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Excel, Data Analysis, Big Data, Computer Programming, Data Mining, R (Programming Language), Python (Programming Language), Machine Learning, Pattern Recognition, Microsoft PowerPoint, SAS (Software), SQL Databases, Tableau (Software), Unstructured Data, Deep Learning
- **Published:** September 4, 2026
- **Apply:** https://www.energyjobline.com/job/data-scientist-washington-31506213

## About the Role

* Bachelor's degree in statistics, applied mathematics, or related discipline
 * 2+ years experience in data science
 * Proficiency in data mining, mathematics, and statistical analysis
 * Advanced pattern recognition and predictive modeling experience
 * Experience with Excel, PowerPoint, Tableau, SQL, and programming (i.e., Java/Python, SAS)
 * Master's degree in stats, applied math, or related discipline

## Description

Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others.

Basic Qualifications

 * Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
 * Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
 * Research and devise innovative statistical models for data analysis
 * Communicate findings to all stakeholders
 * Enable smarter business processes-and implement analytics for meaningful insights
 * Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
 * Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
 * Analyze data for trends and patterns, and Interpret data with a clear objective in mind
 * Implement analytical models into production by collaborating with software developers and machine learning engineers.


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