Senior Data Scientist – CNO Mission Analytics (TS/SCI)

Momentum Engineering; Fort Meade (MD); On-site; USD 135,000 - 180,000; Full time

Benefits offered by this job

11 paid holidays

3 weeks PTO

Group medical plan

Dental, Vision, Life insurance, STD/LT

Job summary

Momentum Engineering, Inc. in Fort Meade, Maryland, is seeking a Data Scientist to support multiple CNO mission areas through technical analysis, automation, collection processing, and data-driven mission support.

The successful candidate will work in a collaborative environment, apply AI/ML techniques, develop Python-based automation, and create Jupyter Notebooks for mission analytics and prototyping, with the ability to adapt to changing priorities.

Qualifications

• Active Top Secret/SCI clearance with NSA Full Scope Polygraph.
• Master’s degree with 6+ years of relevant experience or Bachelor’s with 8+ years, or Associate’s with 10+ years.
• Strong Python proficiency.
• Experience with Jupyter Notebooks.
• Experience with automation and collection processing.
• Ability to work effectively in a team environment and pivot with mission priorities.

Responsibilities

• Support multiple CNO mission areas and operational requirements.
• Apply AI/ML techniques to technical and mission analysis.
• Develop Python-based automation and analytical workflows.
• Perform collection processing and data analysis.
• Create and maintain Jupyter Notebooks for mission analytics and prototyping.
• Rapidly adapt tools and workflows to changing mission priorities.
• Collaborate with technical, operational, and mission stakeholders.

Skills

Python proficiency

Jupyter Notebooks

Automation

Team collaboration

Mission adaptability

Education

Master’s degree

Bachelor’s degree

Associate’s degree

Tools

Python

Jupyter Notebooks

Job description

Momentum Engineering, Inc. in Fort Meade, Maryland, is seeking a Data Scientist to support multiple CNO mission areas through technical analysis, automation, collection processing, and data-driven mission support.

The successful candidate will work in a collaborative environment, apply AI/ML techniques, develop Python-based automation, and create Jupyter Notebooks for mission analytics and prototyping, with the ability to adapt to changing priorities.