AI/ML Hybrid Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Hybrid Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." It requires expertise in Python, SQL, and machine learning techniques, with a focus on cybersecurity. Must be eligible for public clearance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Neural Networks #Data Pipeline #Python #Security #ML (Machine Learning) #AI (Artificial Intelligence) #Data Science #SQL (Structured Query Language) #Visualization #Regression #Classification #NLP (Natural Language Processing) #Cybersecurity
Role description
A cybersecurity solutions company that leverages data and AI to protect enterprises from evolving threats is hiring a Data Scientist to build predictive models, automate pipelines, and deliver analytics that strengthen enterprise security operations. You will also apply machine learning techniques such as regression, classification, NLP, and neural networks. This is a hands-on opportunity to collaborate across cybersecurity, data, and engineering teams to create AI-powered solutions that drive both efficiency and security at scale. In this role you will build/maintain data pipelines, develop/deploy ML models, use APIs to automate security workflows, and create dashboards using visualization tools.
The team is based in Washington, DC and this would be a hybrid role (4 days onsite). In this position, you will use Python, SQL, APIs, visualization tools, and modern ML tools.
• Must be eligible for to obtain a public clearance to apply.
Posted By: Akibu Koroma
A cybersecurity solutions company that leverages data and AI to protect enterprises from evolving threats is hiring a Data Scientist to build predictive models, automate pipelines, and deliver analytics that strengthen enterprise security operations. You will also apply machine learning techniques such as regression, classification, NLP, and neural networks. This is a hands-on opportunity to collaborate across cybersecurity, data, and engineering teams to create AI-powered solutions that drive both efficiency and security at scale. In this role you will build/maintain data pipelines, develop/deploy ML models, use APIs to automate security workflows, and create dashboards using visualization tools.
The team is based in Washington, DC and this would be a hybrid role (4 days onsite). In this position, you will use Python, SQL, APIs, visualization tools, and modern ML tools.
• Must be eligible for to obtain a public clearance to apply.
Posted By: Akibu Koroma
