Data Scientist

3 days ago

Bengaluru, Karnataka, India KSmart Software Staffing Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Brief
Our client based in Bangalore seeking multiple experienced Data Scientists with a strong foundation in machine learning, Python, SQL, and AWS (SageMaker, Docker), ideally with an operations research background in logistics. You will join a high-performing Forecasting & Planning Research team to develop scalable forecasting models, automate pipelines, and deliver actionable insights that directly impact business outcomes.

Responsibilities

  • Immediate Joiners only candidates should be available to join within 15 days
  • Work Mode: Work from Office (Bangalore, Customer Location 5 days/week)
  • Develop accurate and reliable workforce forecasting models
  • Automate model training and deployment using AWS SageMaker and Docker
  • Build impact estimation models using time series, probability, and deep learning techniques
  • Reduce MAPE across risk functions through model optimization
  • Automate data ingestion from Excel to forecasting pipelines
  • Improve data quality via rigorous cleaning and transformation processes
  • Document code, modeling artifacts, and insights clearly
  • Collaborate with cross-functional teams to understand requirements and deliver solutions
  • Experiment with cutting-edge forecasting algorithms to enhance modeling infrastructure

Requirements

  • 5+ years of experience as a Data Scientist, preferably in forecasting and operations research
  • 3+ years of hands-on experience with Python and SQL for data analysis and scripting
  • Strong expertise in machine learning/statistical modeling and performance tuning
  • Proven experience deploying and monitoring models on AWS using SageMaker and Docker
  • Solid understanding of demand forecasting and operational capacity planning
  • Familiarity with time series models and deep learning for time series forecasting
  • Ability to communicate insights effectively to non-technical stakeholders
  • Strong documentation and problem-solving skills

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