Home › Companies › Momentum Engineering, Inc. › ME00574-Data Scientist 3
ME00574-Data Scientist 3
Momentum Engineering, Inc. · Fort Meade, MD, United States · On Site · Deleted · $135,000–$180,000 / year · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Momentum Engineering, Inc. |
| Title | ME00574-Data Scientist 3 |
| Normalized title | - |
| Department / team | Engineering 1 |
| Location | Fort Meade, MD, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | $135,000–$180,000 / year |
| Status | deleted |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-04-01 / 2026-05-29 |
| Changed / last seen | 2026-06-11 / 2026-06-09 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Momentum Engineering, Inc.. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Fort Meade. | Open |
| Department jobs | Active postings in Engineering 1. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Momentum Engineering, Inc. |
| Source | 096fd7f0-9293-46a8-b089-582da38de882 |
| ATS provider | Rippling ATS |
Description
company
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.
role
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.
Full job record
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| Source ID | 096fd7f0-9293-46a8-b089-582da38de882 |
| Board ID | 096fd7f0-9293-46a8-b089-582da38de882 |
| Provider | rippling |
| Provider Job Key | 5b950c01-d90e-4fb6-a6d8-452257618651 |
| Title | ME00574-Data Scientist 3 |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Fort Meade, MD, United States |
| Department | Engineering 1 |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | MD |
| City | Fort Meade |
| Salary Raw | USD 135000-180000 YEAR |
| Salary Min | 135,000 |
| Salary Max | 180,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://ats.rippling.com/momentumcareers/jobs/5b950c01-d90e-4fb6-a6d8-452257618651 |
| Apply URL | https://ats.rippling.com/momentumcareers/jobs/5b950c01-d90e-4fb6-a6d8-452257618651 |
| First Seen At | 2026-05-29 07:09:19Z |
| Last Seen At | 2026-06-09 09:46:32Z |
| Last Checked At | 2026-06-11 09:55:54Z |
| Last Changed At | 2026-06-11 09:55:54Z |
| Inactive At | 2026-06-11 09:55:54Z |
| Source Posted At | 2026-04-01 22:37:24Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=momentumcareers/date=2026-06-09/2026-06-09T09-46-29-768Z-62bf54cd05e7e4fb5ec91e3ba55c93d2698603f6842f7b6c5377333ccd768788.json |
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0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Develop data-driven solutions to improve collection processing, analysis, and operational efficiency</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Build, test, and deploy machine learning models using Python within Jupyter Notebook environments</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Analyze large and complex datasets to identify patterns, trends, and actionable insights</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Collaborate with mission teams across multiple CNO areas to develop and refine analytic approaches</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span 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