Motion Recruitment
AI/ML Hybrid Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Hybrid Data Scientist with 2+ years of experience, offering a hybrid schedule in Washington, DC. Key skills include Python, SQL, NLP, and ML techniques. Must be a US citizen eligible for public clearance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 22, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Classification #Neural Networks #AI (Artificial Intelligence) #Data Pipeline #ML (Machine Learning) #Python #Data Science #SQL (Structured Query Language) #Cybersecurity #NLP (Natural Language Processing) #Security #Visualization #Regression
Role description
• Must be a US citizen eligible to obtain a public clearance to apply.
A cybersecurity solutions company that leverages data and AI to protect enterprises from evolving threats is hiring a Data Scientist with 2+ years of experience 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.
Posted By: Akibu Koroma
• Must be a US citizen eligible to obtain a public clearance to apply.
A cybersecurity solutions company that leverages data and AI to protect enterprises from evolving threats is hiring a Data Scientist with 2+ years of experience 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.
Posted By: Akibu Koroma
