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
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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
About RiVidium Inc.
IT Services & Consulting250 employeesFounded 2008
RiVidium is a privately held federal contractor providing cybersecurity, IT, human-capital, and intelligence services to government agencies.