Senior Data Scientist

20 hours ago

Bengaluru, Karnataka, India TEKIT SOFTWARE SOLUTIONS PRIVATE LIMITED Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 :

years of experience as a Data Scientist, preferably in forecasting systems and operational research.

years of hands-on experience with SQL and Python (scripting & data manipulation).

years of experience in machine learning/statistical modeling techniques and understanding of performance metrics.

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.

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