Data Scientist (Senior)

Peraton•Hampton, VA

About The Position

We are seeking a highly skilled and innovative Data Scientist to join our team at Joint Base Langley-Eustis (JBLE), supporting the Air Combat Command (ACC). The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support intelligence, surveillance, and reconnaissance (ISR) operations. This position requires expertise in data science methodologies, tools, and technologies to design how data will be stored, consumed, integrated and managed by different units and digital systems.

Requirements

Experience Level: MS/MA +12 Years or BS/BA with +17 Years experience in data science, data analytics, or related fields.
Technical Expertise:
Proficiency in data analysis, machine learning, and statistical modeling.
Experience with programming languages such as Python, R, or SQL.
Familiarity with data visualization tools such as Tableau, Power BI, or D3.js.
Strong understanding of data engineering concepts, including ETL processes and database management.
Skills:
Exceptional analytical, critical thinking, and problem-solving skills.
Strong written and verbal communication skills for producing reports and presenting findings.
Ability to work collaboratively in a fast-paced, mission-driven environment.
Security Clearance: Active Top Secret/SCI clearance is required.

Nice To Haves

Experience supporting Air Combat Command (ACC) or similar ISR organizations.
Knowledge of ISR operations and intelligence data sources.
Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
Certifications such as Certified Data Scientist (CDS), AWS Certified Machine Learning Specialty, or equivalent.

Responsibilities

Develop and implement data science solutions to support ISR operations and decision-making processes.
Determine, create and populate optimal data architectures, structures, and systems.
Apply machine learning algorithms, statistical modeling, and predictive analytics to solve mission-critical challenges.
Design and maintain data pipelines, ensuring the efficient collection, processing, and storage of structured and unstructured data.
Identify and address data quality issues, ensuring the accuracy and reliability of analytical outputs.
Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities.
Ensure compliance with all security protocols, classification guidelines, and organizational policies.