The Senior Data Scientist will utilize machine learning techniques and statistical analysis to develop models for classification, forecasting, and regression using various tools and programming languages.
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
Top Skills
Bentoml
Cntk
Keras
Kubeflow
Mxnet
Pyspark
Python
PyTorch
R
R Studio
SAS
Sci-Kit Learn
Spss
TensorFlow
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