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San Diego, California, US

Internship

Hybrid

$21/hr - $25/hr

Intern

Realty Income Corporation, known as The Monthly Dividend Company®, offers an internship program that provides valuable work experience and professional growth opportunities. The Macroeconomic Data Science Intern will support the Predictive Analytics team by building machine learning models and conducting macroeconomic analysis to understand the impact of economic events on the business.

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Responsibilities

Design, build, and validate predictive models using Python and ML frameworks, focusing on both traditional statistical models and advanced machine learning algorithms to forecast economic trends and their business impacts
Conduct comprehensive analysis of macroeconomic indicators and their correlations with sector performance, tracking how policy changes, geopolitical events, and market cycles influence sector rotations and business outcomes
Develop systematic approaches to monitor and analyze sector rotation patterns, identifying leading and lagging economic indicators that signal shifts in market dynamics and their potential impact on company performance and strategic positioning
Create interactive dashboards and comprehensive reports to communicate complex economic trends, model results, and actionable insights to both technical and non-technical stakeholders
Build reusable data features and model components that can be applied across different economic analysis projects, continuously monitoring model performance and implementing improvements to enhance predictive accuracy
Ensure data integrity through robust validation processes, maintain comprehensive documentation of economic data sources, methodologies, and model assumptions to support reproducible research and compliance requirements
Stay current with economic research, market trends, and emerging data science techniques, contributing to the development of new analytical approaches for understanding macro-business relationships

Qualification

Required

Pursuing a degree in Computer Science, Data Science, Economics, Finance, Statistics, Machine Learning, or related field
Solid foundation and programming experience in Python
Experience with SQL
Experience with distributed computing frameworks like Spark
Practical experience with core ML and data libraries such as pandas, scikit-learn, and PySpark
Experience with statistical analysis and modeling techniques
Familiarity with cloud computing platforms such as Azure or AWS for data processing and model deployment
Critical thinker with the ability to synthesize complex information from multiple sources and conceptualize data-driven solutions
Ability to foster strong, collaborative relationships and communicate effectively with both technical and business stakeholders
A team player who displays self-confidence, encourages collaboration, and contributes positively to team culture
Demonstrated integrity and commitment to the highest ethical standards and personal values
Self-motivation and initiative to organize and prioritize work in a fast-paced, dynamic environment