Senior Data Scientist

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 SummaryThe 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).ResponsibilitiesStatistical Modeling & ForecastingBuild and deploy statistical and probabilistic forecasting models for demand, capacity, and trend analysisApply time series methods including regression-based models, ARIMA/SARIMA, and state-space modelsDefine modeling assumptions, forecast uncertainty, and evaluation methodsMachine Learning & Predictive ModelingBuild and deploy machine learning models for forecasting and prediction, including regression, tree-based models, gradient boosting and neural networksSelect statistical or ML approaches based on accuracy, interpretability, robustness, and operational needsDevelop features and run experiments to improve model performanceMLOps & Production DeploymentOwn the model lifecycle, including development, backtesting, deployment, monitoring, and retrainingImplement model monitoring, performance tracking, and data drift detectionEnsure models are versioned, reproducible, and production-readyData Engineering & ModelingPerform exploratory data analysis, feature engineering, and hypothesis testing on large, complex datasetsIdentify data requirements for forecasting and predictive modeling, including key inputs, data gaps, and quality needsWork with big data technologies and distributed data processing to support scalable modelingPartner with data engineering teams to ensure data quality, availability, and efficient data pipelinesVisualization & InsightsCreate visualizations to communicate forecasts, trends, and model outputsTranslate model results into actionable insights for business and operational stakeholdersCollaboration & Stakeholder EngagementWork closely with product managers, engineers, and business teams to define forecasting and analytics requirementsCommunicate modeling approaches, assumptions, and results clearly to technical and non-technical stakeholders Qualifications7+ years of experience in data science, applied statistics, or machine learningStrong foundation in statistics and experience applying statistical methods in productionProven experience with time series analysis and probabilistic forecastingHands-on experience with machine learning models such as regression, boosting, and neural networksExperience owning production data science models, including deployment and monitoringExperience working with large datasets and using SQL and Python for analytical and modeling workflowsProficiency 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 fieldEquinix 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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