Senior Data Scientist
Primary Skills
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), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
Data Science Advanced: Data Specialist
Job requirements
Technical Skills: Software Engineering (Backend Development using Python) Data Science and Analytics SQL and Data Analysis AI/ML experience, preferably with Agentic AI frameworks and implementations Experience integrating AI solutions into enterprise applications Preferred Profile: Strong problem-solving and analytical skills Experience working on end-to-end AI product development Exposure to Generative AI and AI Agent architectures would be highly beneficial
