Data Scientist - Cloud Analytics for National Security

MANTECH; Fort Meade (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

MANTECH seeks a Data Scientist in Fort Meade, MD to drive statistical analytics and cloud-based data solutions for national security objectives. You will collaborate with subject matter experts and customers to guide analytic development from prototype to production, delivering high-value data-driven insights while laying the groundwork for future integration of machine learning into mission operations.

Responsibilities include working across data science efforts in a secure cloud environment,

Qualifications

• Bachelor's degree in a quantitative or technical field or 4 additional years of direct relevant experience.
• 7+ years of experience in a Data Scientist, Data Engineer, Data Analyst, or related technical role.
• 7+ years of experience with Python, R, SQL or similar data analysis tools.

Responsibilities

• Executing and contributing technical expertise across multiple data science efforts in a secure cloud environment.
• Collaborating with customers and analysts to align analytic requirements with mission goals.
• Prototyping and transitioning data pipelines and analytics into scalable, operational environments.
• Applying statistical modeling and data analysis to complex datasets, preparing workflows for ML.
• Managing analytic tasks and delivering high-quality technical work to meet project objectives.

Skills

Python

R

SQL

Education

Bachelor's degree in a quantitative or technical field

Tools

Docker

Cloud infrastructure

MLOps

Job description

MANTECH seeks a Data Scientist in Fort Meade, MD to drive statistical analytics and cloud-based data solutions for national security objectives. You will collaborate with subject matter experts and customers to guide analytic development from prototype to production, delivering high-value data-driven insights while laying the groundwork for future integration of machine learning into mission operations.

Responsibilities include working across data science efforts in a secure cloud environment,