Data Scientist II — TS/SCI Fullscope Poly

Digiflight; Fort Meade (MD); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health, Dental, Vision

Paid Time Off

11 paid holidays

Tuition Education Assistance

Professional Development

Life insurance

Short- and long-term disability

Employee Referral Program

Marketing Incentive Plans

Job summary

DigiFlight is seeking a Data Scientist Level 2 for Fort Meade, MD. The role covers data processing, modeling, and inference to support NSA/CSS data holdings and analytic outcomes.

The candidate will design and implement quantitative methods, work with large datasets, and communicate findings to technical and non-technical stakeholders while aligning with mission needs and evolving data capabilities.

Qualifications

• Bachelor’s Degree with 3 years of relevant experience in mathematics, statistics, applied math, data science or CS
• Associate’s degree with 5 years of relevant experience
• Degrees with substantial computational coursework may be considered, including physics, engineering, or related fields with math/CS concentrations
• Broader degrees accepted if accompanied by a Data Science certificate from an accredited institution
• Experience in ML, data science, data management, data mining, AI, or software engineering preferred

Responsibilities

• Devise strategies to extract meaning and value from large datasets.
• Communicate principled conclusions to non-technical audiences.
• Translate mission needs into technical requirements for data/analytic solutions.

Skills

Python

Statistics

Data Science

Machine Learning

Data Visualization

Communication

Education

Bachelor's Degree in Mathematics/Applied Math/Statistics/CS

Data Science Certificate (optional with broader degrees)

Job description

DigiFlight is seeking a Data Scientist Level 2 for Fort Meade, MD. The role covers data processing, modeling, and inference to support NSA/CSS data holdings and analytic outcomes.

The candidate will design and implement quantitative methods, work with large datasets, and communicate findings to technical and non-technical stakeholders while aligning with mission needs and evolving data capabilities.