Data Scientist

Role Overview

Apply data science techniques to translate complex technical findings into graphical, written, visual, and verbal products. Identify trends in existing intelligence data and leverage other Intelligence Community (IC) data sources.

What You Will Do

Apply mathematics, statistics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and other scientific techniques to support predictive analysis, social media and crowd-sourced data analytics, wargaming, and strategy development.

Why It Might Be a Fit

Strong analytical and problem-solving skills. Ability to clearly communicate technical findings to non-technical stakeholders in written, visual, and verbal formats.

Requirements

• Bachelor’s degree preferred, with four (4) years of relevant experience.
• Proficiency in Python, R, or SQL for data analysis and modeling.
• Experience developing and applying machine learning models using open-source tools (scikit-learn, TensorFlow, PyTorch, or similar).
• Experience with data mining, statistical analysis, and predictive modeling techniques.
• Experience analyzing large, complex datasets to identify trends and produce findings.
• Experience with data visualization tools (Tableau, Power BI, or similar).
• Hands-on experience with relational and/or NoSQL database systems.
• Familiarity with cloud computing and data management within storage and bandwidth constraints.
• Experience with version control systems such as Git.
• Strong analytical and problem-solving skills.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401K w/ employer matching)
• Paid Time Off & 11 Paid Public Holidays
• Short and Long-Term Disability
• Healthy Work-Life Balance
• Training & Development