Home › Companies › Momentum Engineering, Inc. › ME00576-Data Scientist 3
ME00576-Data Scientist 3
Momentum Engineering, Inc. · Fort Meade, MD, United States · On Site · Active · $135,000–$180,000 / year · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Momentum Engineering, Inc. |
| Title | ME00576-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 | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-04-01 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
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 mission-focused analytics by developing data-driven solutions that enable optimization, automation, and collection processing This role involves working with diverse data sources, building tools to retrieve and process data, and applying analytic techniques to extract meaningful insights The ideal candidate is proficient in Python-based data processing, comfortable working with APIs, and experienced in handling complex data workflows Primary Responsibilities
Develop and apply data science techniques to support optimization, automation, and data collection processing Build and utilize tools to retrieve, process, and analyze data through API interaction Perform data aggregation, transformation, and analysis using Python and data frameworks Develop data visualizations and analytic outputs to communicate findings and support decision-making Work with structured and unstructured data to support dataflow understanding and processing pipelines Collaborate with cross-functional teams to translate mission needs into analytic solutions Support development and refinement of data processing tools and workflows Document methodologies and maintain reproducible analysis practices Continuously learn and adopt new techniques, including AI/ML capabilities through training opportunities 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 Proficiency in Python, including data frame manipulation and aggregation (e.g., pandas) Experience with API interaction and building tools to retrieve and process data Strong understanding of data processing, transformation, and analysis Ability to work with complex dataflows and datasets Strong problem-solving and analytical skills Desired Qualifications
Experience with AI/ML techniques for analytics, automation, or optimization Data visualization experience using Plotly, Shapely, or GeoPandas Familiarity with XKS/DX and dataflow concepts Experience with Splunk, SQL, Elastic, Kibana, or networking Front-end development experience using Bootstrap (HTML) or Pyodide Background or experience with SIGINT data collection environments 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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| Org ID | 9ab753e0-53a8-49d6-9fe7-e4e60a575ad9 |
| Source ID | 096fd7f0-9293-46a8-b089-582da38de882 |
| Board ID | 096fd7f0-9293-46a8-b089-582da38de882 |
| Provider | rippling |
| Provider Job Key | 09a28d1e-cc5e-484d-903d-bef30a17cbee |
| Title | ME00576-Data Scientist 3 |
| Normalized Title | — |
| Status | active |
| Active | yes |
| 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/09a28d1e-cc5e-484d-903d-bef30a17cbee |
| Apply URL | https://ats.rippling.com/momentumcareers/jobs/09a28d1e-cc5e-484d-903d-bef30a17cbee |
| First Seen At | 2026-05-29 07:09:19Z |
| Last Seen At | 2026-06-06 18:57:10Z |
| Last Checked At | 2026-06-06 18:57:10Z |
| Last Changed At | 2026-06-06 18:57:10Z |
| Inactive At | — |
| Source Posted At | 2026-04-01 22:42:12Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=momentumcareers/date=2026-06-06/2026-06-06T18-57-08-121Z-d6432dace7510dd4a40285633580348a63bf7b66674da380b70ccd38cf3ebce7.json |
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support optimization, automation, and data collection processing</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 and utilize tools to retrieve, process, and analyze data through API interaction</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Perform data aggregation, transformation, and analysis using Python and data frameworks</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Develop data visualizations and analytic outputs to communicate findings and support decision-making</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Work with structured and unstructured data to support dataflow understanding and processing pipelines</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 cross-functional teams to translate mission needs into analytic solutions</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Support development and refinement of data processing tools and workflows</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Document methodologies and maintain reproducible analysis practices</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Continuously learn and adopt new techniques, including AI/ML capabilities through training opportunities</span></li></ul><p style=\"font-family:"Basel 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