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ME00573-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.
TitleME00573-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 the development of advanced Natural Language Processing (NLP) solutions focused on the automated processing and analysis of spoken and written language data This role is responsible for building and improving models that accurately tokenize language data and annotate linguistic features, enabling scalable and high-quality language understanding capabilities The position involves evaluating model performance against human-generated annotations to continuously enhance accuracy and effectiveness Primary Responsibilities Develop and implement NLP models to automatically tokenize language data from both spoken and written sources Design and build automated solutions for annotating language data with parts-of-speech (POS) tagging and linguistic features Train, test, and validate machine learning models for language processing tasks Evaluate and improve model performance by benchmarking against human-generated annotations for speech and text data Process and analyze large volumes of structured and unstructured language data Develop data pipelines to support ingestion, preprocessing, and transformation of linguistic datasets Collaborate with cross-functional teams to integrate NLP models into production systems Perform error analysis and model tuning to improve accuracy and robustness Document methodologies, model performance, and data processing workflows 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 with Natural Language Processing (NLP) and machine learning techniques Strong proficiency in Python and relevant NLP/ML libraries (e.g., NLTK, spaCy, Hugging Face, or similar) Experience developing models for tokenization, text processing, and linguistic annotation Experience working with speech and/or text data Understanding of model evaluation techniques, including comparison to ground truth or human-labeled data Strong analytical and problem-solving skills Desired Qualifications Experience with part-of-speech tagging and linguistic modeling Experience working with multilingual or speech-based datasets Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) Experience deploying NLP models in production environments Knowledge of data pipelines and large-scale data processing 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 ID9ab753e0-53a8-49d6-9fe7-e4e60a575ad9
Source ID096fd7f0-9293-46a8-b089-582da38de882
Board ID096fd7f0-9293-46a8-b089-582da38de882
Providerrippling
Provider Job Keyf7066752-2493-4426-8109-707b99f02d0b
TitleME00573-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
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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 22:34:46Z
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 NLP models to automatically tokenize language data from both spoken and written 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;\">Design and build automated solutions for annotating language data with parts-of-speech (POS) tagging and linguistic features</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Train, test, and validate machine learning models for language processing tasks</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Evaluate and improve model performance by benchmarking against human-generated annotations for speech and text data</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Process and analyze large volumes of structured and unstructured language data</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 pipelines to support ingestion, preprocessing, and transformation of linguistic datasets</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 integrate NLP models into production systems</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 error analysis and model tuning to improve accuracy and robustness</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, model performance, and data processing workflows</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 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;\"><b><strong style=\"white-space:pre-wrap;\">Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)</strong></b></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Master’s degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or 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style=\"white-space:pre-wrap;\">Experience with part-of-speech tagging and linguistic modeling</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 working with multilingual or speech-based datasets</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 deep learning frameworks (e.g., PyTorch, TensorFlow)</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 deploying NLP models in production 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;\">Knowledge of data pipelines and large-scale data processing</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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