Data Scientist

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🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Advent Services

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

🔒 Cybersecurity

🏛️ Government

Cybersecurity • AI • Government

Advent Services is an innovation-centric, safety and security focused small business specializing in Advanced IT and Cybersecurity, Electronic Warfare Services, and Autonomous Systems Security. With over 25 years of combined experience, it provides innovative solutions tailored to the needs of federal, state, and local government agencies, including critical national customers like the US Navy and US Air Force. They emphasize products and services in AI Integration & Automation and Attritable Unmanned Systems, aiming to secure tomorrow's battlespace today.

📋 Description

• Collect, clean, and analyze large datasets related to position descriptions, job duties, and workforce information. • Use statistical methods, natural language processing (NLP), and machine learning techniques to identify trends, patterns, and commonalities across job roles. • Conduct text analytics on position descriptions to map tasks, skills, and responsibilities to appropriate job series and grade levels. • Collaborate with human resources professionals, subject matter experts, and leadership to validate data-driven findings. • Develop dashboards, visualizations, and reports to communicate insights in a clear and actionable manner. • Ensure consistency, accuracy, and compliance with federal classification policies and standards. • Provide recommendations to leadership on job reclassification and series alignment based on data analysis. • Stay current with emerging trends in workforce analytics, HR technology, and data science.

🎯 Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Master’s preferred). • Strong proficiency in programming languages such as Python or R. • Experience with natural language processing (NLP), machine learning, and data visualization. • Knowledge of SQL and database management. • Ability to interpret and present complex data clearly to both technical and non-technical audiences. • Strong analytical, problem-solving, and communication skills.