Data Scientist
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Job requirementsExperience 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 Excellent 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 and PySpark for data manipulation and model development
• Extensive experience with statistical analysis using SAS and SPSS
• Hands-on expertise in probabilistic graph models for complex data relationships
• Mastery of time series forecasting techniques (exponential smoothing, ARIMA, ARIMAX)
• Implementation of classification algorithms such as decision trees and support vector machines (SVM)
• Deep familiarity with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
• Calcu
📌 Data Scientist (Pune)
🏢 Brillio
📍 Pune