Macroeconomic Data Science Intern
Realty Income Corporation · Del Mar, CA
- On site
- Full-time
- $25,000 / year
- Del Mar, CA
Job highlights
- Build machine learning models for economic impact.
- Conduct macroeconomic and sector performance analysis.
- Develop market intelligence on sector rotations.
- Create data visualizations and reports for stakeholders.
- Gain hands-on data science experience in REIT.
About the role
About Realty Income's Internship Program
Realty Income's internship program is designed to be more than just work experience. It's an opportunity to discover purpose, build meaningful connections, and unlock your professional potential. Our 10-week program, from June 17 to August 24, 2026, offers hands-on experience in a publicly-traded, global real estate investment trust, accelerating your learning and career exploration.
Macroeconomic Data Science Intern Role
Realty Income is seeking a Macroeconomic Data Science Intern for the summer of 2026 to join our in-house Predictive Analytics team. This role combines technical data processing and model development with strategic economic research. You will understand how economic events and sector rotations impact our business by building machine learning models and conducting macroeconomic analysis.
What You Will Be Working On
- Machine Learning Model Development: Design, build, and validate predictive models using Python and ML frameworks (statistical and advanced ML algorithms) to forecast economic trends and their business impacts.
- Macroeconomic Research & Analysis: Conduct comprehensive analysis of macroeconomic indicators and their correlations with sector performance, tracking policy changes, geopolitical events, and market cycles influencing sector rotations and business outcomes.
- Sector Rotation & Market Intelligence: 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.
- Data Visualization & Reporting: Create interactive dashboards and comprehensive reports to communicate complex economic trends, model results, and actionable insights to both technical and non-technical stakeholders.
- Feature Engineering & Model Optimization: Build reusable data features and model components for different economic analysis projects, continuously monitoring model performance and implementing improvements to enhance predictive accuracy.
- Data Quality & Documentation: Ensure data integrity through robust validation processes and maintain comprehensive documentation of economic data sources, methodologies, and model assumptions for reproducible research and compliance.
- Research & Innovation: Stay current with economic research, market trends, and emerging data science techniques, contributing to new analytical approaches for understanding macro-business relationships.
What You Need To Be Successful
- Academic Background: Must be a rising Senior during summer 2026, pursuing a degree in Computer Science, Data Science, Economics, Finance, Statistics, Machine Learning, or a related field.
- Economic & Market Knowledge: Interest in or knowledge of macroeconomics, financial markets, and sector analysis (willingness to learn is essential).
- Technical Programming Skills: Solid programming experience in Python and SQL, with experience in distributed computing frameworks like Spark.
- Machine Learning & Data Analysis: Practical experience with core ML and data libraries (pandas, scikit-learn, PySpark) and statistical analysis/modeling techniques.
- Cloud Computing: Familiarity with cloud platforms such as Azure or AWS for data processing and model deployment.
- Analytical Thinking: A critical thinker able to synthesize complex information and conceptualize data-driven solutions.
- Communication & Collaboration: Ability to foster strong, collaborative relationships and communicate effectively with technical and business stakeholders.
- Team Dynamics: A team player who displays self-confidence, encourages collaboration, and contributes positively to team culture.
- Professional Standards: Demonstrated integrity and commitment to the highest ethical standards.
- Work Management: Self-motivation and initiative to organize and prioritize work in a fast-paced, dynamic environment.
Key Skills/Competency
- Machine Learning
- Python
- SQL
- Macroeconomic Analysis
- Data Visualization
- Predictive Modeling
- Spark
- Cloud Computing
- Statistical Analysis
- Feature Engineering
Skills & topics
- Data Science
- Macroeconomics
- Machine Learning
- Python
- SQL
- Internship
- REIT
- Finance
- Statistics
- Predictive Analytics
How to get hired
- Tailor your resume: Highlight Python, SQL, ML libraries, and any macroeconomic knowledge.
- Showcase projects: Detail relevant data science or economic analysis projects.
- Emphasize skills: Clearly state your analytical, communication, and teamwork abilities.
- Prepare for interviews: Be ready for technical and behavioral questions.
Technical preparation
Practice Python, SQL, and Spark extensively.,Build and test ML models with scikit-learn.,Familiarize yourself with Azure or AWS.,Analyze economic data and financial markets.
Behavioral questions
Discuss a challenging data analysis project.,How do you collaborate with diverse teams?,Describe a time you learned something new.,How do you prioritize tasks in a fast-paced environment?
Frequently asked questions
- What is the duration of the Macroeconomic Data Science Intern role at Realty Income?
- The Macroeconomic Data Science Intern role at Realty Income is a 10-week program, running from June 17 to August 24, 2026.
- What academic qualifications are required for the Macroeconomic Data Science Intern position at Realty Income?
- Candidates must be rising Seniors in summer 2026 pursuing a degree in Computer Science, Data Science, Economics, Finance, Statistics, Machine Learning, or a related field.
- What programming languages and tools are essential for the Macroeconomic Data Science Intern at Realty Income?
- Proficiency in Python and SQL is essential, along with experience in ML libraries like pandas and scikit-learn, and distributed computing frameworks such as Spark.
- Does Realty Income require prior knowledge of macroeconomics for the Data Science Intern role?
- While prior knowledge of macroeconomics, financial markets, and sector analysis is preferred, a strong willingness to learn is considered essential for the Macroeconomic Data Science Intern position.
- What is the work arrangement for the Macroeconomic Data Science Intern at Realty Income?
- This is a hybrid role, requiring interns to be in the office from Monday to Thursday.
- What is the hourly compensation for the Macroeconomic Data Science Intern role at Realty Income?
- The hourly compensation for this role ranges from $21.00 to $25.00, determined by the candidate's skills, experience, knowledge, education, and abilities.
- How can I apply for the Macroeconomic Data Science Intern position at Realty Income?
- You can apply through the company's careers portal. Ensure your resume highlights relevant technical skills, academic background, and any interest in economic analysis.
- What kind of projects can I expect as a Macroeconomic Data Science Intern at Realty Income?
- You can expect to work on machine learning model development, macroeconomic research and analysis, sector rotation monitoring, data visualization, and feature engineering for economic forecasting.