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).
Key Skills for This Role
Google Cloud Platform (GCP)SQLPythonpandasNumPyscikit-learn
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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.
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
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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
Ensure models are versioned, 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 communicate forecasts, trends, and model outputs
Translate model results into actionable insights for 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
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
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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About Equinix, Inc.
Data Centers & Cloud Infrastructure13931 employeesFounded 1998
Global provider of data center colocation and interconnection services.
