Senior Data Scientist

Overview :

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

The Senior Data Scientist plays a critical role within the Data Science team, driving advanced analytics, machine learning, and predictive modeling initiatives. This role focuses on developing strategic models and solutions to optimize business operations, enhance customer experience, and maximize revenue. The Senior Data Scientist must possess deep technical expertise as they will play a critical role in shaping the data science strategy. The Senior Data Scientist will collaborate closely with cross-functional teams, providing leadership in analytical projects while remaining hands-on with coding and model development.

Who We Are

At CubeSmart, were intentional about culture. You can experience it everywhere from our mission statement of genuine care to our Its Whats Inside That Counts tagline to calling each other teammates rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry.

CubeSmarts award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and / or business needs they are facing. Teammates are passionate, responsible, and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example. If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you.

Responsibilities :

Advanced Analytics and Modeling

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.

Strategic Collaboration

Experimentation and Testing

Data Infrastructure and Governance

Leadership and Mentorship

Communication and Stakeholder Management

Qualifications :

#LI-MT1