ME00652-Data Scientist 2
Fort Meade, MD
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingAnalyze large and complex datasets
Collaborate with technical and mission stakeholders to translate analytical needs into solutions
Develop and apply data models and computational mathematics techniques
From the employer’s posting
Primary Responsibilities Analyze large and complex datasets Develop and apply data models and computational mathematics techniques
Process large datasets using distributed and cloud-based platforms Collaborate with technical and mission stakeholders to translate analytical needs into solutions Required Qualifications
Analyze large and complex datasets Develop and apply data models and computational mathematics techniques Perform qualitative and quantitative analysis
What you’ll bring
All qualificationsCore experience
- Bachelor’s Degree with 3 years of relevant experience, Associate's degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
- Experience with statistical and predictive modeling
- Experience developing data visualizations
- Experience working with large-scale datasets
Preferred experience
- Experience with cloud data platforms
- Experience deploying AI/ML models in operational environments
- 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans.
Qualification wording
Bachelor’s Degree with 3 years of relevant experience, Associate's degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Experience with statistical and predictive modeling
Experience developing data visualizations
Experience working with large-scale datasets
Experience with cloud data platforms
Experience deploying AI/ML models in operational 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.
Education & alternatives
- Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph - Bachelor’s Degree with 3 years of relevant experience, Associate's degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position - AI/ML experience
Tools in this posting
- Spark
Source — Tool mentions in context
Desired Qualifications - Experience with Spark - Experience with cloud data platforms
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 an AI/ML Data Scientist to analyze and interpret large-scale datasets and develop advanced predictive and machine learning capabilities
- This role combines data modeling, computational mathematics, statistical analysis, visualization, and AI/ML model development and deployment
Primary Responsibilities
- Analyze large and complex datasets
- Develop and apply data models and computational mathematics techniques
- Perform qualitative and quantitative analysis
- Develop data visualizations and analytical products
- Design, train, evaluate, and deploy AI/ML models
- Perform advanced statistical and predictive modeling
- Process large datasets using distributed and cloud-based platforms
- Collaborate with technical and mission stakeholders to translate analytical needs into solutions
Required Qualifications
- Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
- Bachelor’s Degree with 3 years of relevant experience, Associate's degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
- AI/ML experience
- Strong data analysis and modeling skills
- Experience with statistical and predictive modeling
- Experience developing data visualizations
- Experience working with large-scale datasets
Desired Qualifications
- Experience with Spark
- Experience with cloud data platforms
- Experience deploying AI/ML models in operational 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.
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
- Aug 8, 2026
- Recorded sightings
- 4
- Last seen by us
- Sep 29, 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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