Senior Data Scientist - Mission Analytics (TS/SCI Poly)

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

Benefits offered by this job

11 paid holidays

3 weeks PTO

Company sponsored health plan

Job summary

Momentum Engineering, Inc. seeks a Data Scientist to support multiple CNO missions through technical analysis, automation, data processing, and data-driven mission support. The role requires collaborating with stakeholders and adapting to changing priorities in a fast-paced environment.

The successful candidate will apply AI/ML techniques, develop Python-based automation workflows, and create Jupyter Notebooks for analytics and prototyping, with a focus on mission-critical data processing.

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.
• 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.

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

AI/ML

Data analysis

Automation

Team collaboration

Education

Master’s degree (related field)

Bachelor’s degree (related field)

Associate’s degree (related field)

Tools

Jupyter Notebooks

Job description

Momentum Engineering, Inc. seeks a Data Scientist to support multiple CNO missions through technical analysis, automation, data processing, and data-driven mission support. The role requires collaborating with stakeholders and adapting to changing priorities in a fast-paced environment.

The successful candidate will apply AI/ML techniques, develop Python-based automation workflows, and create Jupyter Notebooks for analytics and prototyping, with a focus on mission-critical data processing.