Senior Data Scientist

3 weeks ago

Bengaluru, India TekIT Software Solutions Pvt. Ltd. Full time

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

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