ME00574-Data Scientist 3
Role summary
Momentum Engineering is seeking a Data Scientist to support Computer Network Operations (CNO) mission areas. This role involves applying advanced AI/ML techniques to optimize workflows, automate processes, and enhance collection processing. The Data Scientist will develop data-driven solutions, build, test, and deploy machine learning models using Python in Jupyter Notebooks, and analyze large datasets to extract actionable insights. The position requires adaptability in a dynamic, mission-driven environment and collaboration with mission teams. Responsibilities include developing scripts and tools for automation and documenting findings.
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 Computer Network Operations (CNO) mission areas by applying advanced analytics and artificial intelligence/machine learning (AI/ML) techniques to optimize mission workflows, automate processes, and enhance collection processing
- This role operates in a dynamic, mission-driven environment requiring adaptability, technical expertise, and the ability to rapidly pivot based on evolving operational priorities
Primary Responsibilities
- Apply AI/ML techniques to support optimization, automation, and enhancement of CNO mission workflows
- Develop data-driven solutions to improve collection processing, analysis, and operational efficiency
- Build, test, and deploy machine learning models using Python within Jupyter Notebook environments
- Analyze large and complex datasets to identify patterns, trends, and actionable insights
- Collaborate with mission teams across multiple CNO areas to develop and refine analytic approaches
- Rapidly adapt to changing mission priorities and support time-sensitive operational requirements
- Develop scripts, models, and tools to automate data processing and analysis tasks
- Document methodologies, model performance, and analytic findings
Required Qualifications
- Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
- Master’s degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
- Experience applying AI/ML techniques to real-world data problems
- Proficiency in Python and experience working in Jupyter Notebook environments
- Experience working with large-scale datasets and data analysis tools
- Ability to operate effectively in a team-based, mission-focused environment
- Strong problem-solving and analytical skills
- Ability to quickly adapt and pivot in response to changing priorities
Desired Qualifications
- Experience supporting Computer Network Operations (CNO) mission areas
- Familiarity with Computer Network Exploitation (CNE) concepts and workflows
- Experience with CNO tools and mission platforms
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.
The Pay Range For This Role Is
135,000 - 180,000 USD per year(Ft. Meade MD)