Senior Staff Data Scientist

Job Title: Senior Staff Data Scientist Company: Equinix Job Category: Data Science Roles & Responsibilities: 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 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 * Own the model lifecycle, including development, backtesting, deployment, monitoring, and retraining * Implement model monitoring, performance tracking, and data drift detection * Ensure models are versioned, reproducible, and production\-ready Work Location: Bengaluru, Karnataka, India Availability: Full time

Qualifications * 5\+ years of experience in data science, applied statistics, or machine learning * Strong foundation in statistics and experience applying statistical methods in production * Proven experience with time series analysis and probabilistic forecasting * Hands\-on experience with machine learning models such as regression, boosting, and neural networks * Experience owning production data science models, including deployment and monitoring * Experience working with large datasets and using SQL and Python for analytical and modeling workflows * Proficiency in Python and common DS/ML libraries (e.g., pandas, NumPy, scikit\-learn, statsmodels, PyTorch/TensorFlow) * Experience working on Google Cloud Platform (GCP) * Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field Key Skills: Data Science, Python, SQL, Pandas, NumPy, Statistics, Machine Learning Salary: Not disclosed