Data Scientist

CubeSmart; Malvern (Chester County); Hybrid; USD 110,000 - 150,000; Full time

Job summary

CubeSmart in Malvern, PA is seeking a Data Scientist to build predictive models and analytics solutions that drive business decisions. The role is hybrid with in-office time three days per week.

You will develop machine learning models, work with Python and SQL, and collaborate with marketing, operations, and finance to translate data into actionable insights. If you stay current on data science advances and enjoy communicating complex results, this role offers growth and impact.

Qualifications

• Graduate degree required in Economics, Data Science, Statistics, Mathematics, or related field.
• 1–3 years of experience in data science, analytics, or related field.
• Proficiency in Python and SQL.
• Basic understanding of ML models and analytics techniques.

Responsibilities

• Develop and implement machine learning models and analytics solutions.
• Apply coding practices across data preprocessing and model validation.
• Maintain accuracy, quality, and scalability of data science deliverables.
• Analyze data from multiple sources to identify trends and opportunities.

Skills

Python

SQL

Databricks

Problem-solving

Education

Graduate degree in Economics, Data Science, Statistics, Mathematics, or related field

Tools

Databricks

Job description

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.