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Senior Data Scientist - Python Job Opening In Bengaluru – Now Hiring TekIT Software Solutions Pvt. Ltd.


Job description

<p><p><b>Position : </b> Data Scientist.<br/><br/> <b>Experience Required : </b> 5+ Years.<br/><br/> <b>Location : </b> Bangalore.<br/><br/> <b>About the Role : </b><br/><br/> We are seeking a highly skilled Data Scientist with strong expertise in forecasting systems, operational research, and applied machine learning.<br/><br/> The ideal candidate will have hands-on experience in building, deploying, and optimizing models in the AWS cloud environment, with a focus on time series forecasting and demand capacity planning.<br/><br/> <b>Key Responsibilities : </b><br/><br/> - Design, develop, and implement forecasting systems to improve demand prediction and operational capacity planning.<br/><br/> - Apply theoretical models and transform them into practical, real-world solutions.<br/><br/> - Perform data analysis, feature engineering, and statistical modeling to extract insights and improve model accuracy.<br/><br/> - Build, deploy, monitor, and update models in AWS using Amazon SageMaker pipelines, Docker containers, and other cloud-native tools.<br/><br/> - Conduct exploratory data analysis and prepare data using SQL and Python.<br/><br/> - Leverage machine learning, statistical modeling, and optimization techniques to solve business problems.<br/><br/> - Collaborate with cross-functional teams including product, engineering, and operations to integrate models into production systems.<br/><br/> - Continuously improve models by monitoring performance and tuning parameters.<br/><br/> <b>Required Skills & Qualifications : </b><br/><br/> - 5+ years of experience as a Data Scientist, preferably in forecasting systems and operational research.<br/><br/> - 3+ years of hands-on experience with SQL and Python (scripting & data manipulation).<br/><br/> - 3+ years of experience in machine learning/statistical modeling techniques and understanding of performance metrics.<br/><br/> - 3+ years of experience with AWS cloud services, including deploying end-to-end ML products.<br/><br/> - Practical experience using Amazon SageMaker pipelines and Docker containers.<br/><br/> - Strong understanding of demand forecasting and its impact on operational capacity planning.<br/><br/> - Knowledge of time series models and deep learning techniques for time series (e.g., LSTMs, Transformers) is a strong asset.<br/><br/> - Proven ability to apply theoretical models in real-world applications.<br/><br/> <b>Preferred Skills : </b><br/><br/> - Advanced degree (Masters/PhD) in Computer Science, Statistics, Applied Mathematics, or related field.<br/><br/> - Exposure to operational research optimization techniques (linear programming, simulation, etc.<br/><br/> - Familiarity with big data tools such as Spark or Hadoop.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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2. Loyalty

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