Data Scientist

The Data Scientist role at CubeSmart is centered on building predictive models and analytics solutions that support data science initiatives. Based in Malvern, PA, this is a hybrid position with in-office time scheduled for 3 days per week.

Role Responsibilities

• Develop and implement machine learning models and advanced analytics solutions to address business challenges.
• Apply coding practices across data preprocessing and model validation.
• Maintain accuracy, quality, and scalability across data science deliverables.
• Analyze data from multiple sources to identify trends, patterns, and opportunities for improvement.
• Contribute to predictive model design for customer segmentation, pricing strategies, and inventory management.
• Interpret analytical results and provide actionable insights to stakeholders.
• Assist with testing and experimentation strategies, including A/B testing and controlled experiments.
• Evaluate experiment outcomes to determine the effectiveness of business strategies.
• Support the creation of guidelines and best practices for experimentation.
• Partner with cross-functional teams across marketing, operations, investments, and finance to understand business needs and data requirements.
• Support senior data scientists on projects focused on optimizing business operations and improving customer experience.
• Identify data-driven opportunities and contribute to strategic initiatives.
• Stay current on developments in data science and machine learning.
• Participate in team meetings and collaborative sessions to share knowledge and best practices.
• Work continuously to improve technical skills and support team growth.
• Communicate findings to team members and stakeholders.
• Prepare reports and visualizations to convey insights effectively.
• Assist in developing and delivering presentations to non-technical audiences.

Required Qualifications

• Graduate degree in Economics, Data Science, Statistics, Mathematics, or a related field.
• 1 to 3 years of experience in data science, analytics, or a related field.
• Proficiency in Python and SQL.
• Basic understanding of machine learning models and advanced analytics techniques.
• Strong problem-solving skills and attention to detail.
• Good communication skills to convey technical concepts to team members and stakeholders.
• Ability to work collaboratively in a fast-paced environment while managing multiple tasks.
• Authorization to work in the U.S. without current or future sponsorship requirements.

Preferred Technology

• Databricks experience is preferred.

Tech Stack

• Databricks
• Python
• SQL

Location and Work Style

Malvern, PA (hybrid). In-office schedule is 3 days per week.