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HomeCompaniesMomentum Engineering, Inc.ME00575-Data Scientist 3

ME00575-Data Scientist 3

Momentum Engineering, Inc. · Fort Meade, MD, United States · On Site · Active · $135,000–$180,000 / year · Rippling ATS

Job facts

FieldValue
CompanyMomentum Engineering, Inc.
TitleME00575-Data Scientist 3
Normalized title-
Department / teamEngineering 1
LocationFort Meade, MD, United States
Work modelOn Site
Employment typeFull Time
Salary$135,000–$180,000 / year
Statusactive
ATS providerRippling ATS
Posted / first seen2026-04-01 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Momentum Engineering, Inc..Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Rippling ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Fort Meade.Open
Department jobsActive postings in Engineering 1.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMomentum Engineering, Inc.
Source096fd7f0-9293-46a8-b089-582da38de882
ATS providerRippling 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 data analysis and processing by developing data-driven solutions that enable optimization, automation, and enhanced collection workflows This role requires strong technical proficiency in data manipulation, API integration, and Python-based analytics, with the opportunity to apply or develop AI/ML techniques within operational environments Candidates with strong data science fundamentals will be supported with training in mission-specific AI/ML applications as needed Primary Responsibilities Develop and implement data-driven solutions to support optimization, automation, and collection processing Interact with and integrate APIs to retrieve, process, and analyze data from multiple sources Build and maintain tools and scripts for data ingestion, transformation, and analysis Perform data manipulation and aggregation using Python (Pandas DataFrames) Analyze large datasets to identify patterns, trends, and actionable insights Develop and support data pipelines and workflows to enable efficient data processing Collaborate with cross-functional teams to support mission requirements and evolving priorities Document data processes, methodologies, 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 Strong proficiency in Python, including experience with Pandas for data manipulation and aggregation Experience working with APIs (reading, using, and building integrations for data retrieval) Experience working with large datasets and performing data analysis Strong problem-solving and analytical skills Ability to work effectively in a team-oriented, mission-driven environment Desired Qualifications Experience applying AI/ML techniques for optimization, automation, or data processing (training can be provided for strong candidates) Experience with data visualization tools, such as Plotly, Shapely, or GeoPandas Familiarity with XKEYSCORE (XKS) / Data Exchange (DX) and understanding of data flow concepts Experience with Splunk, SQL, Elasticsearch, Kibana, or networking fundamentals 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

Job ID4bedd9c8969ca0d3176e2d8fa0707810ab48af99
Org ID9ab753e0-53a8-49d6-9fe7-e4e60a575ad9
Source ID096fd7f0-9293-46a8-b089-582da38de882
Board ID096fd7f0-9293-46a8-b089-582da38de882
Providerrippling
Provider Job Key92cd5814-c25c-4b14-9f4a-109371309215
TitleME00575-Data Scientist 3
Normalized Title
Statusactive
Activeyes
Location TextFort Meade, MD, United States
DepartmentEngineering 1
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionMD
CityFort Meade
Salary RawUSD 135000-180000 YEAR
Salary Min135,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://ats.rippling.com/momentumcareers/jobs/92cd5814-c25c-4b14-9f4a-109371309215
Apply URLhttps://ats.rippling.com/momentumcareers/jobs/92cd5814-c25c-4b14-9f4a-109371309215
First Seen At2026-05-29 07:09:19Z
Last Seen At2026-06-06 18:57:10Z
Last Checked At2026-06-06 18:57:10Z
Last Changed At2026-06-06 18:57:10Z
Inactive At
Source Posted At2026-04-01 22:39:57Z
Source Updated At
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0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Develop and implement data-driven solutions to support optimization, automation, and 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;\">Interact with and integrate APIs to retrieve, process, and analyze data from multiple sources</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 maintain tools and scripts for data ingestion, transformation, and analysis</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 manipulation and aggregation using Python (Pandas DataFrames)</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 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;\">Develop and support data pipelines and workflows to enable efficient data 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;\">Collaborate with cross-functional teams to support mission requirements and evolving priorities</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 data processes, methodologies, and analytic findings</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Required Qualifications</strong></b></p><ul 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0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Desired Qualifications</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience applying AI/ML techniques for optimization, automation, or data processing (training can be provided for strong candidates)</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with data visualization tools, such as Plotly, Shapely, or GeoPandas</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Familiarity with XKEYSCORE (XKS) / Data Exchange (DX) and understanding of data flow concepts</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with Splunk, SQL, Elasticsearch, Kibana, or networking fundamentals</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">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.  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