Job Description

We are eagerly seeking candidates with 3 to 12 years’ experience for a Data Scientist to join our dynamic team. The ideal candidate will play a pivotal role in data analysis, statistical modeling, and machine learning to extract valuable insights from data Role: Data Scientist Location: Pune/Hyderabad/Mumbai Experience: 3 to 12 years Job type: Full time Work type: Hybrid Impact you will realize: Job Responsibilities Individuals will be responsible for leveraging their expertise in data analysis, statistical modeling, and machine learning to extract valuable insights from data Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL. Develop solutions using Machine Learning and Generative AI Develop and apply statistical models to gain insights and make predictions based on historical data. Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc. Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization. Deploy machine learning models into production systems and make necessary updates or improvements. Ensure data privacy and compliance with relevant regulations Documentation of analytical methods, data pipelines, and model workflows Key skills you will require: Primary Skills Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL. Develop solutions using Machine Learning and Generative AI Develop and apply statistical models to gain insights and make predictions based on historical data. Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc. Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization. Deploy machine learning models into production systems and make necessary updates or improvements. Ensure data privacy and compliance with relevant regulations Documentation of analytical methods, data pipelines, and model workflows

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