AI Data Scientist

🔥 0 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Koniag Government Services

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1975

🏛️ Government

🎖️ Defense

💼 Consulting

Government • Defense • Consulting

Koniag Government Services is an Alaska Native Corporation (ANC) that provides technical, professional, and operational expertise to the U. S. public sector. KGS supports Defense & Intelligence, Federal Civilian, and Health customers with enterprise solutions, professional services, and operations management, and emphasizes mission-focused outcomes, contracting speed (ANC direct awards), and strategic/technology partnerships. The company positions itself as a mission partner delivering people, technology, and program management to government customers.

📋 Description

• 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 for accurate, timely, and reliable usage-data collection • Translate complex data findings into clear, actionable insights for technical and non-technical audiences • Present analytical findings and strategic recommendations to executive leadership • Stay current with emerging AI/ML technologies and recommend innovative analytics approaches • Ensure data integrity, security, and compliance with organizational and government data-handling policies • Document methodologies, models, and processes for reproducibility and knowledge transfer

🎯 Requirements

• 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 • Strong proficiency in Python, R, or SQL • Experience with AI/ML frameworks and tools • Experience designing and building dashboards and visualizations using 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 AWS, Azure, or Google Cloud AI/ML services • Experience with natural language processing (NLP) tools • Knowledge of application performance monitoring (APM) tools and their integration with analytics platforms • Experience presenting data-driven recommendations to C-level executives or senior government stakeholders • Familiarity with Agile methodologies and 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 • Remote work arrangement

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