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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist 2 - **Company:** Momentum Engineering - **Location:** Fort Meade, MD, United States - **Experience:** Expert - **Salary:** $105,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Cloud Database, Data Visualization, Machine Learning, Cloud Services, Computational Statistics, Apache Spark, Information Technology - **Published:** August 11, 2026 - **Apply:** https://www.dice.com/job-detail/d38a698f-3ba8-43fa-97ac-a0d471807166 ## About the Role * 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 * Demonstrated AI/ML experience * Experience working with large-scale datasets * Experience with data modeling and computational mathematics * Strong statistical and predictive modeling skills * Experience developing and deploying AI/ML models * Experience with scripting and automation * Experience with data visualization * Strong analytical and problem-solving skills Desired Qualifications * Experience with Spark * Experience with cloud data platforms * Experience with analytical prototyping * TechSIGINT experience * Prior discovery-focused analytical experience ## 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., * Seeking Data Scientist to assess and analyze large-scale datasets and develop advanced analytical solutions using machine learning, statistical modeling, automation, and data visualization * The successful candidate will support discovery-focused mission needs and be adaptable to new tools and technologies Primary Responsibilities * Analyze and assess large-scale datasets * Develop data models and apply computational mathematics techniques * Perform qualitative and quantitative analysis * Develop data visualizations and analytical products * Design, develop, evaluate, and deploy AI/ML models * Perform advanced statistical and predictive modeling * Process large datasets using platforms such as Spark and cloud-based data environments * Provide advanced discovery support using machine learning and analytical prototyping * Develop scripts and automated analytical workflows * Apply statistical analysis and TechSIGINT tools to support mission requirements * Evaluate and adopt new tools and technologies as mission needs evolve ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 166: Sycophancy, Zip bombs and AI Native Development](https://www.wearedevelopers.com/magazine/585-dev-digest-166-sycophancy-zip-bombs-and-ai-native-development)