Skip to main content
Similar jobs pay
$22.76 - $31.71
Full-time, Part-time
5 Old Lancaster Road, Malvern, PA 19355
Updated 7 days ago
Save
Refer friends
Overview

CubeSmart seeks a part-time Data Scientist Intern (until Spring 2022, with opportunity to be converted to a full-time role, depending upon teammate's performance and CubeSmart's needs) to join the Analytics and Revenue Management department at its Malvern, PA headquarters. Reporting to the Director of Data Science, the Data Scientist Intern will drive significant revenue growth through development of advanced demand forecast models, pricing and revenue optimization models, digital marketing automation, and ad hoc analytics that span all functions of the Company.

Who we are:

At CubeSmart, we're intentional about culture. You can experience it everywhere from our mission statement of "genuine care" to our "It's What's 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.

CubeSmart's 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
  • Contribute to the enhancement of the Company's pricing and revenue management system, interfacing with both internal and external analytical and development resources. This will include direct interaction with a renowned academic expert in the Revenue Management discipline, with whom CubeSmart maintains a consulting relationship.
  • Assist in the definition, implementation, and refinement of all downstream business applications of any forecasting output, including primary application in the Company's proprietary revenue management system.
  • Design, implement, and evaluate statistical testing protocol for website, call center, and pricing optimization.
  • Develop models to enhance and optimize the digital sales funnel, including optimization of paid search bidding models; and customer-centric promotion, pricing and online experiences.
  • Engage with internal stakeholders, executives, external marketing agencies, consultants, and IT resources to facilitate the collection and interpretation of operational data.
Qualifications

Education and/or Work Experience Requirements
  • MS (graduated or expected to graduate by Spring 2022) in a quantitative discipline (Operations Research, Statistics, Engineering, Mathematics or similar)
  • Experience in a developing and applying statistical models in a commercial environment and/or through academic projects.
  • Strong background in applied statistics (regression analysis), microeconomics (discrete choice modeling) and/or mathematical optimization.
Knowledge and Abilities:

To perform the job successfully, an individual should demonstrate the following:
  • Understanding how to apply models to solve business problems.
  • Knowledge of a vast set of statistical models and packages, including traditional statistical models (e.g., linear, logistic regressions, time-series models, clustering) as well as machine learning algorithms (e.g., random forest, boosted trees, SVM, neural networks and deep learning).
  • Proficiency in using data visualization packages to understand the trends influencing a business challenge, and to evaluate the efficacy of a model.
  • Proficient technical programming skills in, e.g., SQL, Python, R, etc., and statistical analysis experience working with large datasets.
  • Ability to work independently and interface effectively with both technical and non-technical colleagues
  • Strong listening and communication skills are essential
#LI-KM1

We are an Equal Opportunity Employer, Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Posting ID: 565002894 Posted: 2021-10-21 Job Title: Data Scientist Intern