Data Scientist

Malvern, PA

Full-time

Hybrid

Entry Level

CubeSmart is a self-storage real estate investment trust. The Data Scientist develops predictive models and analytics solutions, analyzes data, and supports experimentation and cross-functional data-driven decision-making.

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Responsibilities

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
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
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
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
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
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

Qualification

Required

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
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