Senior Data Scientist
Equinix (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 22–36 LPA
Posted on 6 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and deploy statistical and machine learning models for demand forecasting, capacity planning, and trend analysis.
- Own the end-to-end model lifecycle including development, backtesting, production deployment, monitoring, and retraining on Google Cloud Platform.
- Collaborate with cross-functional teams to translate model outputs into actionable business insights and ensure scalable data engineering support.
Minimum Requirements
- 5+ years of experience in data science, applied statistics, or machine learning.
- Proficiency in Python and data science/ML libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
- Experience with time series analysis, probabilistic forecasting, and production ML model deployment.
- Experience working on Google Cloud Platform (GCP) and handling large datasets with SQL and Python.
Ideal Candidate Profile
- Experienced in building both statistical forecasting models and advanced machine learning models for business applications.
- Comfortable managing full model lifecycle and MLOps in cloud environments, especially GCP.
- Able to effectively communicate technical modeling concepts and results to both technical and non-technical stakeholders across teams.