ME00655-Data Scientist 3

Momentumcareers; Fort Meade (MD); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

11 paid holidays

3 weeks PTO

Group medical plan

Dental insurance

Vision insurance

Life insurance

STD/LTD plans

Job summary

Momentum Engineering, Inc. seeks a Data Scientist to support multiple CNO mission areas through technical analysis, automation, collection processing, and data-driven mission support.

The role operates in a collaborative environment and requires adapting quickly to changing mission priorities. The successful candidate will apply AI/ML techniques, develop Python-based workflows, and generate analytic notebooks for prototyping and mission analytics, with a strong emphasis on teamwork and security

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 in-depth relevant experience.
• Strong Python proficiency.
• Experience with automation and collection processing.

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

Automation

Teamwork

Adaptability

Education

Master’s degree

Bachelor’s degree

Associate’s degree

Tools

Jupyter Notebooks

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

• 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 and adapt quickly to changing mission priorities

Primary 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

Required Qualifications

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
• Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
• Strong Python proficiency
• Experience with Jupyter Notebooks
• Experience with automation and collection processing
• Ability to work effectively in a team environment
• Ability to rapidly pivot based on mission priorities

Desired Qualifications

• Prior CNO experience
• Experience with CNO tools
• CNE experience
• AI/ML experience

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.