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# Data Scientist Level 3

- **Company:** CACI International Inc.
- **Location:** Suitland-Silver Hill, MD, United States
- **Experience:** Experienced
- **Salary:** $94,400.0 - $198,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Data Systems, Machine Learning, Natural Language Processing, Cloud Platform System, Deep Learning, Information Technology
- **Published:** June 5, 2026
- **Apply:** https://dejobs.org/x/x/FA163F41383D4171880A02E16070C964/job/

## About the Role

CACI is seeking a skilled and experienced Data Scientist (Level 3) to join our dynamic team to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in data science, advanced machine learning techniques, and a proven track record of developing and implementing innovative data solutions. This role requires leadership skills to mentor junior data scientists and a deep understanding of cloud computing platforms and AI tools., * Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

 * 5+ years of experience in data science, analysis, and modeling.
 * Advanced machine learning techniques (deep learning, NLP).
 * Ability to lead and mentor junior data scientists.
 * Knowledge of cloud computing platforms (AWS, Azure).
 * Proven track record of developing and implementing innovative data solutions.
 * Good knowledge of AI tools and capabilities, Responsible AI (RAI) policies, and development of metrics, measurements, and evaluation methods for emerging and existing areas of AI.
 * Certifications:
 * Certified Analytics Professional (CAP)
 * Advanced certifications in specific machine learning domains (Deep Learning, Natural Language Processing)
 * AWS Certified Machine Learning
 * TS/SCI Clearance

## Description

* Advanced Machine Learning: Apply deep learning and natural language processing (NLP) techniques to develop sophisticated data models and algorithms.
 * Leadership and Mentorship: Lead and mentor junior data scientists, providing guidance and support to enhance their skills and capabilities.
 * Cloud Computing: Utilize cloud computing platforms (AWS, Azure) to deploy and manage data science projects.
 * Innovative Solutions: Develop and implement cutting-edge data solutions that drive business value and improve operational efficiency.
 * AI Tools and Capabilities: Leverage AI tools and adhere to Responsible AI (RAI) policies to ensure ethical and responsible use of AI technologies.
 * Metrics and Evaluation: Create metrics, measurements, and evaluation methods for both emerging and existing areas of AI to assess performance and impact.
 * Collaboration: Work closely with cross-functional teams to understand business needs and translate them into data-driven solutions.


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