Data Scientist - R01572016

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Description

Data Scientist Job requirements - Experience Range: With at least 4 years of hands-on experience in advanced data science, including statistical analysis and machine learning, and up to 6 years in similar roles Key Responsibilities: Design and implement robust statistical models using advanced hypothesis testing, regression, and forecasting techniques to deliver actionable business insights - Develop and optimize machine learning algorithms for classification, prediction, and probabilistic graph models utilizing Python, PySpark, and R - Conduct comprehensive statistical analysis with SAS, SPSS, and R Studio to support data-driven decision-making - Build, train, and deploy scalable models using ML frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet - Apply advanced time series forecasting methods, including exponential smoothing, ARIMA, and ARIMAX, to analyze trends and predict outcomes - Streamline model deployment and lifecycle management in production environments using KubeFlow and BentoML - Implement and validate data quality checks with Great Expectations and Evidently AI to ensure dataset integrity - Present complex data findings to stakeholders, translating insights into actionable recommendations that drive business outcomes - Required Skills: Advanced application of hypothesis testing methodologies, including T-Test and Z-Test - Expert-level regression analysis (linear and logistic) for predictive modeling - Proficient programming in Python

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