Data Scientist II | TS/SCI | Mission-Driven Analytics

DigiFlight, Inc.; Columbia (MD); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health, Dental, Vision

Paid time off

11 holidays

Tuition assistance

Professional development

Life insurance

Disability insurance

Employee referral program

Marketing incentive plans

Job summary

DigiFlight, Inc. is seeking a Data Scientist Level 2 to join our team at Fort Meade, MD. The role requires TS/SCI Fullscope Poly clearance and involves applying mathematics, statistics, and computer science to extract value from large, complex data holdings.

The ideal candidate will design ML and data analytics methods, communicate results to stakeholders, and translate mission needs into technical requirements, ensuring robust, reproducible analyses and actionable recommendations.

Qualifications

• Bachelor’s Degree in Mathematics, Statistics, Computer Science or related field with substantial coursework in advanced Math/CS.
• Experience designing/implementing ML, data science, analytical algorithms, programming, statistics, data management, data mining, and AI.
• Broader degrees with a Data Science certificate may be considered.

Responsibilities

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

Skills

Python

Statistics

Data visualization

Data processing

Education

Bachelor’s Degree in Mathematics/Statistics/Computer Science

Associate’s degree with 5 years of relevant experience

Certificate in Data Science

Job description

DigiFlight, Inc. is seeking a Data Scientist Level 2 to join our team at Fort Meade, MD. The role requires TS/SCI Fullscope Poly clearance and involves applying mathematics, statistics, and computer science to extract value from large, complex data holdings.

The ideal candidate will design ML and data analytics methods, communicate results to stakeholders, and translate mission needs into technical requirements, ensuring robust, reproducible analyses and actionable recommendations.