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# Entry-Level Data Engineer / Data Scientist

- **Company:** The Prospective Group, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Starter
- **Salary:** $90,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Excel, Big Data, Computer Programming, Data Structures, Data Visualization, Github, Python (Programming Language), RStudio, SQL Databases, Jupyter Notebook, Gitlab, Information Technology, Data Analytics, Software Version Control, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9078915/entry-level-data-engineer-data-scientist

## About the Role

The Prospective Group (TPG) is seeking a motivated, recent graduate to join our team as an Entry-Level Data Engineer / Data Scientist. This role is ideal for someone with a strong foundation in data analytics, statistical modeling, and programming who is eager to apply academic and project experience to real-world business problems. The candidate will support data pipeline development, statistical analysis, and visualization efforts across the organization., * Bachelor's degree in Data Analytics, Computer Science, or related field

 * Proficiency in SQL and at least one programming language (Python, Java, or R)
 * Experience with Excel and data visualization tools
 * Familiarity with version control systems (GitHub/GitLab)
 * Strong analytical, problem-solving, and communication skills
 * Ability to work both independently and collaboratively in a team environment, * Experience with statistical/regression modeling or predictive analytics
 * Exposure to PCA, KPI development, or dashboard design
 * Coursework or project experience in data structures, algorithms, or big data analytics
 * Familiarity with Jupyter Notebook or RStudio

## Description

* Assist in building, cleaning, and maintaining large-scale datasets for analysis
 * Develop and support data pipelines and automated reporting processes
 * Conduct statistical and quantitative analysis to support business decision-making
 * Build dashboards and visualizations to communicate findings to stakeholders
 * Collaborate with cross-functional teams on analytics and reporting projects
 * Support ad hoc data requests and contribute to process improvement initiatives


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