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Senior Data Scientist - Python

Senior Data Scientist - Python

TekIT Software Solutions Pvt. Ltd.Bangalore
5 days ago
Job description

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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    Data Scientist Python • Bangalore

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