Senior Data Scientist

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 (Master's/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.