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# Data Scientist- Senior

- **Company:** Rividium, Inc
- **Location:** Quantico, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Computer Vision, Big Data, C++ (Programming Language), Databases, Data Governance, Data Mining, Data Visualization, R (Programming Language), Apache Hadoop, Python (Programming Language), MATLAB, Machine Learning, Microsoft Office, Natural Language Processing, NoSQL, Performance Tuning, RStudio, Microsoft SharePoint, PL-SQL, SQL Databases, Unstructured Data, Apache Spark, Deep Learning, Containerization, Kubernetes, Information Technology, Data Analytics, Performance Monitor, Data Management, Text Analysis, Stream Analytics, Docker
- **Published:** November 14, 2026
- **Apply:** https://www.juju.com/job/16_6d595a3e6

## About the Role

RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends., * Bachelor?s or Master?s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics)

 * Minimum 10 years of relevant professional experience
 * 6?8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment
 * Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar
 * Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies
 * Hands-on experience with data visualization tools and techniques
 * Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques
 * Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms
 * Familiarity with natural language processing (NLP) and/or image processing techniques
 * Experience working with Microsoft tools, including SharePoint
 * Strong analytical, problem-solving, and critical thinking skills
 * Excellent communication, presentation, and stakeholder engagement abilities
 * Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS)
 * Experience with data science platforms such as RStudio, Spark, or similar tools
 * Strong documentation and project management skills
 * Active TS/SCI clearance required at contract start, * Specialized expertise in text analytics, image recognition, graph analytics, or deep learning
 * Experience solving complex problems in computer vision or natural language processing domains
 * Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN)
 * Familiarity with federal law enforcement (LE) systems or prior experience in LE environments

Work Environment

 * Collaborative, mission-focused environment supporting federal and defense initiatives
 * Opportunity to work on cutting-edge data science and AI/ML technologies

## Description

This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and model development to deployment and performance monitoring., * Lead the design, development, and deployment of advanced statistical and machine learning models

 * Translate complex data into actionable insights to support business strategy and decision-making
 * Manage data science projects from conception through deployment, ensuring timely and high-quality delivery
 * Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
 * Build and optimize predictive models to solve complex problems and forecast future outcomes
 * Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement
 * Design and implement data platforms for analysis, experimentation, and scalability
 * Assess and improve data quality, data sources, and data collection methodologies
 * Develop algorithms and analytical tools to extract insights from structured and unstructured data
 * Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences
 * Drive innovation and continuous improvement in data science methodologies and technologies
 * Ensure data standardization, governance, and best practices across projects
 * Stay current with emerging trends in data science, machine learning, and artificial intelligence