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Lead Data Analyst- R01552322

๐Ÿ“… Jul 9, 2025
ClassificationDecision TreesSVMHamming Distance
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๐Ÿ“œ Description

  • Apply classification methods such as decision trees and SVM.
  • Use distance measures including Hamming, Euclidean, and Manhattan distance.
  • Develop forecasts using exponential smoothing, ARIMA, and ARIMAX.
  • Perform statistical analysis, hypothesis testing, and regression.
  • Work with machine learning frameworks and tools for data science.

๐Ÿ› ๏ธ Requirements

  • Knowledge of classification, forecasting, regression, and statistical analysis.
  • Experience with Python or PySpark, R or R Studio, and machine learning frameworks.
  • Familiarity with LangGraph and agentic AI.
  • Knowledge of tools such as Great Expectations, Evidently AI, KubeFlow, or BentoML.
Full job description
Data Scientist

Primary Skills

  • Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test
  • Job requirements

  • Langraph, agentic ai
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