Data Scientist- Senior

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

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