Note: The job is a remote job and is open to candidates in USA. Koniag Emerging Technologies (KET), a Koniag Government Services company, is hiring an AI Data Scientist to modernize how usage and performance data is tracked and analyzed across enterprise web applications. The role applies AI and machine learning to analytics, develops predictive models and executive reporting, and translates findings into actionable recommendations.

Responsibilities

• Design and implement systems to track and monitor usage statistics across 15+ enterprise web applications
• Analyze application usage data to identify trends, patterns, anomalies, and opportunities for optimization
• Research, evaluate, and introduce AI and machine learning tools to automate and enhance data analysis processes
• Develop predictive models and analytics frameworks to forecast application usage trends and user behavior
• Create executive-level reports and dashboards summarizing key metrics, insights, and recommendations for leadership
• Collaborate with application owners, IT teams, and business stakeholders to understand data needs and reporting requirements
• Design and maintain data pipelines to ensure accurate, timely, and reliable collection of usage data
• Translate complex data findings into clear, actionable insights for both technical and non-technical audiences
• Present analytical findings and strategic recommendations to executive leadership on a regular basis
• Stay current with emerging AI/ML technologies and recommend innovative approaches to improve data analytics capabilities
• Ensure data integrity, security, and compliance with organizational and government data handling policies
• Document methodologies, models, and processes for reproducibility and knowledge transfer

Skills

• With a Secret security clearance
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field from an accredited college or university
• 5+ years of experience in data science, data analytics, or a related field
• Demonstrated experience tracking and analyzing usage statistics for multiple software/web applications
• Experience introducing or implementing AI/ML tools within an organizational analytics environment
• Experience creating executive-level reports and presentations based on data analysis
• Exceptional communication skills in English – both written and oral – and the ability to translate complex technical data into clear insights for executive audiences
• Strong proficiency in data analysis tools and programming languages such as Python, R, or SQL
• Experience with AI/ML frameworks and tools
• Proven ability to design and build dashboards and visualizations using tools such as Power BI, Tableau, or similar platforms
• Strong understanding of statistical analysis, predictive modeling, and data mining techniques
• Experience working with large datasets from multiple application sources and consolidating them into unified reporting structures
• Ability to work independently and collaboratively within a team environment under the direction of leadership
• Strong analytical and problem-solving skills with keen attention to detail
• Ability to manage multiple projects and priorities in a fast-paced environment
• Must have secret clearance
• Experience working in a federal government IT environment
• Familiarity with cloud-based analytics platforms (e.g., AWS, Azure, or Google Cloud AI/ML services)
• Experience with natural language processing (NLP) tools for generating automated reporting narratives
• Knowledge of application performance monitoring (APM) tools and their integration with analytics platforms
• Experience presenting data-driven recommendations directly to C-level executives or senior government stakeholders
• Familiarity with Agile methodologies and working within cross-functional technical teams

Benefits

• Medical, dental, and vision insurance
• 401(k) retirement plan
• Paid time off
• Paid parental leave
• Life and disability insurance
• Flexible spending accounts
• Commuter benefits
• Tuition reimbursement
• The position is remote, but being in the DC metro area is preferred.

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