Talent Groups

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist / AI/ML Engineer in Weehawken, NJ, for 6 months at a competitive pay rate. Candidates need 2-3 years of experience with LangChain, RAG systems, and 4-6 years in traditional data science and ML.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 10, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Weehawken, NJ
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🧠 - Skills detailed
#ML (Machine Learning) #Classification #Data Science #NLP (Natural Language Processing) #A/B Testing #TensorFlow #PyTorch #Deep Learning #Regression #AI (Artificial Intelligence) #Time Series #Langchain #Scala #Model Validation #Databases
Role description
Job Title: Data Scientist / AI/ML Engineer Location: Weehawken, NJ (Onsite, 5 days a week) Duration : 6 Months Job Description: We are seeking an experienced Data Scientist / AI/ML Engineer to join our team in Weehawken, NJ. This role requires hands-on experience with advanced AI/ML frameworks, Retrieval-Augmented Generation (RAG) systems, and data science techniques. The ideal candidate will have strong expertise in both modern AI toolkits and traditional machine learning methods. Key Responsibilities & Skills: • Develop and implement AI/ML solutions using LangChain, LangGraph, LlamaIndex. • Design and optimize Retrieval-Augmented Generation (RAG) systems, including Agentic RAG, prompt engineering, context engineering, and vector databases. • Implement embedding and chunking strategies and apply MCP (Model Context Protocol). • Apply data science and machine learning techniques, including classification, regression, decision trees, random forest, XGBoost, and model validation/evaluation. • Conduct probabilistic analysis, A/B testing, and time series analysis to inform data-driven decisions. • Leverage NLP, TensorFlow, PyTorch, and semantic analysis to develop scalable AI solutions. Experience Required: • 2–3 years of hands-on experience with LangChain, LangGraph, LlamaIndex, and RAG-based systems. • 4–6 years of experience in traditional data science/ML, NLP, and deep learning frameworks.