Data Scientist - R01551326

The Data Scientist will lead research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, multi-agent AI systems, and real-world AI applications.

Requirements

• Hypothesis Testing
• T-Test
• Z-Test
• Regression (Linear, Logistic)
• Python/PySpark
• SAS/SPSS
• Statistical analysis and computing
• Probabilistic Graph Models
• Great Expectation
• Evidently AI
• Forecasting (Exponential Smoothing, ARIMA, ARIMAX)
• Classification (Decision Trees, SVM)
• ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet)
• Distance (Hamming Distance, Euclidean Distance, Manhattan Distance)
• R/ R Studio
• LLM orchestration
• Knowledge graphs
• Reinforcement learning (RLHF/RLAIF)
• LangGraph
• Agentic AI

Benefits

• Work-life balance
• Professional development opportunities
• Competitive salary and benefits
• Opportunities for career growth and advancement