Data Scientist

Overview

This is a hybrid role based in the Malvern, PA office. (3 days in office)

The Data Scientist is a key member of the Data Science team, focused on development of predictive models and other analytics solutions. This role involves contributing to the strategy of data science initiatives while primarily engaging in the practical aspects of model development, coding, and data analysis. The Junior Data Scientist will work closely with senior team members and cross-functional teams to support business objectives and enhance data-driven decision-making.

Cube Smart is a publicly traded real estate investment trust (REIT) focused on the development, acquisition, disposition, and management of self-storage facilities. Cube Smart is headquartered in Malvern, PA, a suburb of Philadelphia, and is one of the largest self-storage owners and operators in the United States, with more than 1500 locations nationwide.

Over the past five years, Cube Smart has grown significantly, acquiring approximately $1.5 billion in assets. Our growth is possible because of our3,000teammates across the country who work together to grow the company, serve our Customers, and deliver results through a culture of open communication and collaboration. We are excited to have you join our team and grow with us!

Model Development

• Develop and implement machine learning models and advanced analytics solutions to address business challenges.
• Engage in the practical aspects of coding, data preprocessing, and model validation.
• Ensure the accuracy, quality, and scalability of data science deliverables.

Data Analysis and Insight Generation

• Analyze data from various sources to identify trends, patterns, and opportunities for improvement.
• Contribute to the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management.
• Support the interpretation of analytical findings and provide actionable insights.

Experimentation and Testing

• Assist in designing and implementing testing and experimentation strategies, including A/B testing and controlled experiments.
• Analyze results from experiments to evaluate the effectiveness of business strategies.
• Contribute to the development of guidelines and best practices for experimentation.

Collaboration and Support

• Work with cross-functional teams, including marketing, operations, investments, and finance, to understand business needs and data requirements.
• Support senior data scientists in executing projects aimed at optimizing business operations and improving customer experience.
• Participate in the identification of data-driven opportunities and provide support for strategic initiatives.

Continuous Learning and Improvement

• Stay up-to-date with the latest trends and developments in data science and machine learning.
• Participate in team meetings and collaborative sessions to share knowledge and best practices.
• Continuously seek opportunities to improve technical skills and contribute to the team’s growth.

Communication and Reporting

• Communicate analytical findings and insights to team members and stakeholders.
• Prepare reports and visualizations to convey data-driven insights effectively.
• Support the development and delivery of presentations to non-technical audiences.

• Graduate degree in Economics, Data Science, Statistics, Mathematics, or a related field.
• 1-3 years of experience in data science, analytics, or a related field.
• Experience with Databricks is preferred.
• Strong problem-solving skills and attention to detail.
• Proficiency in programming languages such as Python and SQL.
• Basic understanding of machine learning models and advanced analytics techniques.
• Good communication skills for conveying technical concepts to team members and stakeholders.
• Ability to work collaboratively in a fast-paced, team environment and manage multiple tasks simultaneously.

Candidates must be authorized to work in the U.S. without the need for current or future sponsorship.

We are an Equal Opportunity Employer, Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity

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