Senior Data Scientist

Equinix, Inc.; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Equinix, Inc. is seeking a Senior Data Scientist to design and deploy statistical and machine learning solutions to solve business problems. This role involves collaboration with cross-functional teams to create production-ready models, generate insights, and enhance decision-making.

The ideal candidate will have over 7 years of experience in data science, with strong skills in statistics and machine learning, as well as hands-on knowledge of Google Cloud Platform (GCP).

Qualifications

• 7+ 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.
• Experience working on Google Cloud Platform (GCP).

Responsibilities

• Build and deploy statistical and probabilistic forecasting models.
• Apply time series methods including regression-based models, ARIMA/SARIMA.
• Own the model lifecycle: development, backtesting, deployment, monitoring.
• Perform exploratory data analysis and feature engineering.
• Create visualizations to communicate forecasts and trends.

Skills

Data science

Machine learning

Statistics

Time series analysis

Python

SQL

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field

Tools

Google Cloud Platform (GCP)

pandas

NumPy

scikit-learn

PyTorch/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.

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 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 strong 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 efficient data pipelines

Visualization & Insights

• Create visualizations to communicateforecasts, trends, and model outputs

• Translate model results intoactionable insightsfor business and operational stakeholders

Collaboration & Stakeholder Engagement

• Work closely with product managers, engineers, and business teams to define forecasting and analytics requirements

• Communicate modeling approaches, assumptions, and results clearly to technical and non-technical stakeholders

Qualifications

• 7+ years of experiencein data science, applied statistics, or machine learning

• Strong foundation instatisticsand experience applying statistical methods in production

• Proven experience withtime series analysis and probabilistic forecasting

• Hands-on experience withmachine learning modelssuch as regression, boosting, and neural networks

• Experience owningproduction data science models, including deployment and monitoring

• Experience working with large datasets and using SQL and Python for analytical and modeling workflows

• Proficiency inPythonand common DS/ML libraries (e.g., pandas, NumPy, scikit-learn, statsmodels, PyTorch/TensorFlow)

• Experience working onGoogle Cloud Platform (GCP)

• Bachelor’s or Master’s degree inComputer Science, Statistics, Mathematics, Data Science, or a related quantitative field

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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