Senior Data Scientist Agentic AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist specializing in Agentic AI, requiring a PhD or Master's degree with relevant experience, 3+ years in AI modeling, strong Python skills, and expertise in machine learning. Contract length and pay rate are unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 12, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - Skills detailed
#TensorFlow #Programming #Leadership #Automation #Data Science #Computer Science #Mathematics #Statistics #ML (Machine Learning) #Python #PyTorch #AI (Artificial Intelligence)
Role description
This in a hybrid role in Midtown Manhattan, NY AGENTIC AI EXPERIENCE A MUST HAVE! AGENTIC AI EXPERIENCE A MUST HAVE! We are seeking a Senior Data Scientist, Agentic AI who is an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how the firm operates, serves customers, and drives growth. You'll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across the firm's products and services. You have: β€’ PhD with 2+ years of experience OR have a Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field β€’ 3+ years of hands-on AI modeling/development experience β€’ Strong theoretical foundations in probability & statistics β€’ Strong programming skills in Python including PyTorch, Tensorflow, LangGraph β€’ Solid background in machine learning algorithms, optimization, and statistical modeling β€’ Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level β€’ Excellent analytical and problem-solving abilities with superb attention to detail β€’ Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success