Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "X months" and a pay rate of "$X/hour". Key skills include AI/ML/LLM, RAG LLM, Python, NLP, and Generative AI. Hands-on experience in these areas is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Baltimore, MD
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🧠 - Skills detailed
#Python #Data Science #Data Analysis #ML (Machine Learning) #Monitoring #Scala #NLP (Natural Language Processing) #Deployment #AI (Artificial Intelligence)
Role description
Key Required Skills
Strong knowledge of AI/ML/LLM, RAG LLM, Python, NLP, Generative AI.
Position Description
• Hands on experience in Python,RAG LLM, NLP, ML and Generative AI
• Understand real world challenges and develop automated data solutions
• Develop, test, and deploy new techniques for NLP understanding
• Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
• Train and optimize NLP/LLM models and create Python based pipelines
• Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
• Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
• Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
• Provide accurate, timely, complex, and sophisticated data analysis.
Key Required Skills
Strong knowledge of AI/ML/LLM, RAG LLM, Python, NLP, Generative AI.
Position Description
• Hands on experience in Python,RAG LLM, NLP, ML and Generative AI
• Understand real world challenges and develop automated data solutions
• Develop, test, and deploy new techniques for NLP understanding
• Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
• Train and optimize NLP/LLM models and create Python based pipelines
• Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
• Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
• Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
• Provide accurate, timely, complex, and sophisticated data analysis.
