Job Summary

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

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

Responsibilities

Statistical Modeling Forecasting
Build and deploystatistical and probabilistic forecasting modelsfor demand, capacity, and trend analysis
Applytime series methodsincluding regression-based models, ARIMA/SARIMA, and state-space models
Define modeling assumptions, forecast uncertainty, and evaluation methods

Machine Learning Predictive Modeling
Build and deploymachine learning modelsfor forecasting and prediction, including regression, tree-based models, gradient boosting and neural networks
Selectstatistical or ML approachesbased on accuracy, interpretability, robustness, and operational needs




Develop features and run experiments to improve model performance

MLOps Production Deployment
Own themodel lifecycle, including development, backtesting, deployment, monitoring, and retraining
Implementmodel monitoring, performance tracking, and data drift detection
Ensure models areversioned, reproducible, and production-ready

Data Engineering Modeling
Perform exploratory data analysis, feature engineering, and hypothesis testing on large, complex datasets
Identify data requirements for forecasting and predictive modeling, including key inputs, data gaps, and quality needs
Work with big data technologies and distributed data processing to support scalable modeling
Partner with data engineering teams to ensure data quality, availability, and productive data pipelines

Visualization Insights
Create visualizations to communicateforecasts, trends, and model outputs
Translate model

📌 Senior Data Scientist Bengaluru (India)
🏢 Equinix
📍 India