CubeSmart is looking to optimize business operations, enhance customer experience, and maximize revenue through advanced analytics, machine learning, and predictive modeling initiatives.
Requirements
- Proficiency in programming languages such as Python and SQL, and big data technologies like Databricks.
- Proven track record in developing and deploying machine learning models and advanced analytics solutions.
Responsibilities
- Develop and implement advanced analytics and machine learning models to solve complex business problems.
- Oversee the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management.
- Provide expert guidance on the theoretical foundations of statistical models and machine learning techniques, ensuring the selection of appropriate methods is grounded in a deep understanding of the problem context, underlying assumptions, and potential trade-offs.
- Ensure the accuracy, quality, and scalability of data science solutions.
- Assist in the creation and evolution of state-of-the-art MLOps implementations.
- Design and implement testing and experimentation strategies, including A/B testing and controlled experiments.
- Analyze results from experiments to measure the effectiveness of business strategies.
Other
- This is a hybrid role based in the Malvern, PA office. (3 days in office)
- Master’s degree or Ph.D. in Economics, Data Science, Statistics, Mathematics, or a related field.
- Minimum of 5 years of experience in data science, analytics, or a related field.
- Strong problem-solving skills and strategic thinking ability.
- Excellent communication skills for explaining technical concepts to non-technical audiences.
