CubeSmart is looking to develop predictive models and analytics solutions to address business challenges and enhance data-driven decision-making in the self-storage industry
Requirements
- Experience with Databricks is preferred
- Proficiency in programming languages such as Python and SQL
- Basic understanding of machine learning models and advanced analytics techniques
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
- Assist in designing and implementing testing and experimentation strategies, including A/B testing and controlled experiments
- Support the interpretation of analytical findings and provide actionable insights
Other
- 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
- 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
- Strong problem-solving skills and attention to detail
