ME00575-Data Scientist 4
Fort Meade, MD
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop and implement data-driven solutions to support optimization, automation, and collection processing
Build and maintain tools and scripts for data ingestion, transformation, and analysis
Perform data manipulation and aggregation using Python (Pandas DataFrames)
From the employer’s posting
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
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)
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
What you’ll bring
All qualificationsCore experience
- 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
- Ability to work effectively in a team-oriented, mission-driven environment
- 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
Preferred experience
- 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
Qualification wording
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
Ability to work effectively in a team-oriented, mission-driven environment
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
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
Education & alternatives
- 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
Tools in this posting
- Python
- SQL
- Elasticsearch
- Kibana
- pandas
- Plotly
Source — Tool mentions in context
- 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
- 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
- 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)
- 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.
- 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
Job description
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 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on ats.rippling.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Fort Meade, MD
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 116
- Last seen by us
- Sep 29, 2026
- Employer says posted
- Apr 1, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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