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# Data Scientist - Secret required

- **Company:** Parsons Corporation
- **Location:** Aberdeen, MD, United States
- **Experience:** Experienced
- **Salary:** $112,200.0 - $196,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Spreadsheets, Cloud Computing, Extract Transform Load (ETL), Data Mining, Data Visualization, Python (Programming Language), NoSQL, NumPy, Software Tools, Cloudera, SQL Databases, Systems Integration, Unstructured Data, Web Applications, Data Processing, Scripting, Data Server Interface, Pandas, Information Technology, Api Design
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466900009&tx=FK3936FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's toMaster'sdegree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Engineering, or related discipline).
 * 3-10+ years of professional experience in data science, analytics, or a related field.
 * Active Secret is required
 * Experience with software integration or testing, including test plan and script development.
 * Proficiencyin scripting languages such as Python or R, and familiarity with data science libraries and tools (e.g.,JupyterNotebook, Pandas,Numpy).
 * Experience with SQL, NoSQL, API development, ETL pipelines, and web application servers.
 * Demonstrated ability to apply complex mathematical and statistical concepts.
 * Experience with data mining, statistics, or graph algorithms to supportanalytics objectives.
 * Proficiencyin using spreadsheets and visualization tools for data manipulation and presentation.

Preferred Qualifications:

 * Relevant industry certifications (e.g., CompTIA Cloud Essentials, EMCDSA, Cloudera, CISSP, Microsoft certifications) are preferred.
 * Strong analytical, problem-solving, and communication skills.

## Description

* Design, develop, and implement data models, algorithms, and analytical solutions to address business and mission challenges.
 * Integrate, test, andvalidatedata-driven applications and software tools.
 * Utilize scripting languages and statistical packages to analyze large structured and unstructured datasets.
 * Build and maintain ETL pipelines, APIs, and data interfaces to support analytics workflows.
 * Apply advanced mathematical, statistical, and operations research methods to solve complex problems.
 * Develop and present data visualizations, reports, and dashboards for technical and non-technical audiences.
 * Collaborate with stakeholders toidentifydata requirements and deliver actionable insights.Stay current with emerging technologies and best practices in data science and analytics.