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. 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. Key Responsibilities - 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
Minimum Qualifications - 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
Preferred Qualifications - 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
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