Senior Associate Data Science Analyst

eady analytics.

The role requires hands-on experience in statistical analysis, forecasting, machine learning, SQL, Python, and Google Cloud Platform (GCP).

Responsibilities

Statistical Modeling & Forecasting

• Build and evaluate statistical and probabilistic forecasting models for demand, capacity, and trend analysis

• Apply time series methods including regression-based models, ARIMA/SARIMA, and related forecasting techniques

• Interpret forecast uncertainty and apply agreed evaluation methods for forecasting use cases

Machine Learning & Predictive Modeling

• Build and evaluate machine learning models for forecasting and prediction, including regression, tree-based models, gradient boosting, and neural networks

• Apply statistical and ML approaches based on modeling requirements and established standards

• Develop features and run experiments to improve model performance

MLOps & Model Operations

• Execute the model lifecycle, including development, back testing, deployment, monitoring, and updates

• Track model performance, data drift, and model health metrics

• Ensure models are documented, reproducible, and ready for production use

Data Engineering & Modeling

• Perform exploratory data analysis, feature engineering, and hypothesis testing to support forecasting and modeling

• Work with large datasets and cloud-based data processing tools to support analytical workflows

• Partner with data engineering teams to ensure data quality, availability, and consistency

Visualization & Insights

• Create visualizations to communicate trends, forecasts, and model outputs

• Translate analytical results into clear insights for business and operational stakeholders

Collaboration & Stakeholder Engagement

• Work closely with data scientists, engineers, and business teams on forecasting and analytics use cases

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

Qualifications

• 3-5 years of experience in data analysis, data science, or a related analytical role

• Strong foundation in statistics and experience applying statistical methods to real datasets

• Experience with time series analysis and forecasting

• Working knowledge of machine learning models such as regression, boosting, and neural networks

• 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)

• Familiarity with model deployment, monitoring, and MLOps workflows

• Experience working on Google Cloud Platform (GCP)

• Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics, 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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This posting is for a backfill position, meaning it is to fill an existing vacancy within our organization.