Senior Data Scientist

Equinix; Bengaluru; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Equinix seeks a Senior Data Scientist to design and deploy statistical, forecasting, and machine learning solutions that solve complex business problems at scale.

You will collaborate with cross-functional teams to build production‑ready models, generate actionable insights, and improve planning and decision‑making using Google Cloud Platform (GCP). The role emphasizes model lifecycle ownership and continuous improvement.

Qualifications

• Strong background in statistics and probabilistic forecasting.
• Experience building production‑ready models and solving business problems.
• Familiarity with ML deployment, monitoring, and data pipelines.

Responsibilities

• Statistical Modeling & Forecasting: build probabilistic forecasting models for demand, capacity, and trends.
• Machine Learning & Predictive Modeling: develop ML models for forecasting and prediction, using regression, trees, boosting, or neural nets.

Skills

Statistical Modeling

Time Series

Forecasting

Machine Learning

GCP

Education

Master's degree in a relevant field

Tools

Python

TensorFlow

Job description

Who are we?

Equinix is the world’s digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

Who are we?

Equinix is the world’s digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

The Senior Data Scientist designs and deploys statistical, forecasting, and machine learning solutions to solve complex business problems. This role works with cross-functional teams to build production-ready models, generate actionable insights, and improve planning and decision-making at scale.

The role requires strong expertise in statistics, time series analysis, probabilistic forecasting, machine learning, and Google Cloud Platform (GCP).

Responsibilities

Statistical Modeling & Forecasting

• Build and deploy statistical and probabilistic forecasting models for demand, capacity, and trend analysis
• Apply time series methods including regression-based models, ARIMA/SARIMA, and state-space models
• Define modeling assumptions, forecast uncertainty, and evaluation methods

Machine Learning & Predictive Modeling

• Build and deploy machine learning models for forecasting and prediction, including regression, tree-based models, gradient boosting and neural networks
• Select statistical or ML approaches based on accuracy, interpretability, robustness, and operational needs
• Develop features and run experiments to improve model performance

MLOps & Production Deployment

• Own the model lifecycle, including development, backtesting, deployment, monitoring, and retraining
• Implement model monitoring, performance tracking, and data drift detection??