Senior Data Scientist

Bi3 Technologies

Chennai District, Coimbatore District

On-site

INR 1,500,000 - 2,600,000

Full time

14 days+
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Job summary

Bi3 Technologies in Chennai is seeking a Senior Data Scientist with 5+ years of experience to lead ML model development and deployment, including forecasting, regression, classification, and clustering techniques on large datasets.

You will own end-to-end ML lifecycle, work with Azure ML and Snowflake, implement MLOps and CI/CD, and collaborate with business stakeholders while mentoring juniors.

Qualifications

  • 5+ years of data science experience.
  • Strong Python and SQL expertise.
  • Hands-on Azure ML and Snowflake experience.
  • End-to-end ML lifecycle ownership (development, deployment, monitoring).
  • Forecasting and predictive analytics expertise.

Responsibilities

  • Develop and deploy ML models.
  • Forecasting models.
  • Regression techniques.
  • Classification techniques.
  • Clustering algorithms.
  • Model performance monitoring and optimization.
  • Develop end-to-end data pipelines.
  • Work with large datasets.

Skills

Python
SQL
Data Science
Forecasting
MLOps
CI/CD
Azure ML
Snowflake

Tools

Azure ML
Snowflake
CI/CD pipelines

Job description

Role & responsibilities
  • 5+ years of experience in Data Science.
  • Machine Learning model development and deployment.
  • Forecasting models.
  • Regression techniques.
  • Classification techniques.
  • Clustering algorithms.
  • Model performance monitoring and optimization
  • Strong hands-on experience in: Python & SQL
  • Development of end-to-end data pipelines.
  • Working with large datasets.

Cloud, Data Platforms, MLOps & Deployment
  • Azure Machine Learning
  • Azure Cloud environment.
  • Snowflake Data Platform.
  • MLOps practices.
  • CI/CD implementation.
  • Model deployment.
  • Automated retraining workflows.
  • Model monitoring.

Ideal Candidate Profile
  • 5+ years of Data Science experience.
  • Strong Python and SQL expertise.
  • Hands-on Azure ML and Snowflake experience.
  • End-to-end ML lifecycle ownership (development, deployment, monitoring).
  • Forecasting and predictive analytics expertise.
  • MLOps and CI/CD implementation experience.
  • Ability to work with business stakeholders and mentor junior team members

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