Data Scientist

Posted on July 1, 2025

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Job Description

  • ? Job Title: Data Scientist
  • ? Location: Bengaluru, India
  • ? Experience: 6�8 Years
  • ? Time Zone: IST
  • ?? Cloud Platform: AWS
  • ? Primary Skills: Forecasting, Time Series, Python, SQL, AWS (SageMaker, Docker), Machine Learning
  • ? Job Summary
  • We are seeking a highly skilled Data Scientist with 6�8 years of experience to join our analytics team. The ideal candidate will develop, deploy, and maintain machine learning and statistical models�especially focused on forecasting and operational research�on AWS infrastructure. This role requires a strong foundation in data science, time series modeling, and the ability to drive measurable business impact through data-driven insights.
  • ?? Key Responsibilities
  • Design and deploy accurate, scalable forecasting models and ML pipelines.
  • Automate model training, monitoring, and updates using AWS tools (e.g., SageMaker, Docker).
  • Collaborate with cross-functional teams to identify business problems and deliver data solutions.
  • Perform data wrangling, transformation, and ingestion (e.g., Excel to models).
  • Continuously optimize model accuracy (e.g., reduce MAPE).
  • Document models, pipelines, and processes clearly and efficiently.
  • Experiment with emerging algorithms for forecasting and capacity planning.
  • ? Key Deliverables
  • Reliable forecasting models with automated pipelines.
  • Improved accuracy and reduced error in forecasts across risk functions.
  • Enhanced data quality through automation and validation processes.
  • Actionable insights and dashboards to support strategic decision-making.
  • Clear documentation and reproducibility of modeling efforts.
  • ? Required Qualifications
  • 5+ years of experience as a Data Scientist, preferably in Forecasting/Operational Research.
  • Proficient in Python, SQL, and data wrangling tools.
  • 3+ years of hands-on experience with ML/statistical modeling, including time series methods.
  • Strong experience with AWS cloud (SageMaker, Docker, deployment pipelines).
  • Experience in model monitoring, drift detection, and lifecycle management.
  • Knowledge of capacity planning, business impact modeling, and ML model optimization.

Required Skills

forecasting time series python sql aws (sagemaker docker) machine learning