Senior Data Scientist
1 week ago
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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