National Storage Affiliates Trust

Data Science

Job

Data Science

About National Storage Affiliates Trust:

National Storage Affiliates Trust is a real estate investment trust headquartered in Greenwood Village, Colorado, focused on the ownership, operation and acquisition of self storage properties predominantly located within the top 100 metropolitan statistical areas throughout the United States. As of June 30, 2022, the Company held ownership interests in and operated 1,076 self storage properties located in 42 states and Puerto Rico with approximately 69.9 million rentable square feet. NSA is one of the largest owners and operators of self storage properties among public and private companies in the United States. For more information, please visit the Company’s website at www.nationalstorageaffiliates.com. NSA is included in the MSCI US REIT Index (RMS/RMZ), the Russell 2000 Index of Companies and the S&P MidCap 400 Index.

Reports to: Data Science Manager

Job Summary:

The data scientist will use data to drive decision making in our pricing, marketing, and acquisition efforts. The data scientist will have the opportunity to make an immediate impact on a growing company. The data scientist will work within a collaborative team, assisting with exploratory data analysis, data cleaning and validation, model development and deployment. We’re looking for a high integrity, motivated individual who wants to contribute to a great company.

Qualifications:

  • Experience analyzing data and doing exploratory data analysis on real world business problems.
  • Experience writing and deploying production level python code, interfacing with software engineers.
  • Experience deploying machine learning models in financial and real estate applications.
  • Experience with pandas, numpy, statsmodels, scikit-learn, lifelines, matplotlib, seaborn packages in python.
  • Proficient with SQL – writing queries to collecting relevant data.
  • Experience using GIT version control and putting code into production.

Education and Experience:

  • Bachelor’s degree from a four-year accredited university or college in a related discipline (statistics, mathematics, computer science, data science)
  • 2-4 years of work experience as a data scientist.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit, stand and walk. This position may be required to sit, stand or walk for extended periods of time.

Compensation Range: $95,000 - $115,000 plus bonus (depending on amount of experience)

FLSA Status: Exempt 

Work Hours and Benefits:

  • Flex work schedule with opportunities to both collaborate in the office and work from home.
  • Competitive salary, PTO, and benefits (health/vision/dental).
  • Paid holidays
  • 100% paid health/vision/dental etc. for employee only plans with up to $3,500 funding towards HSA.
  • 401(K) with employer match
  • Employee Assistance Program
  • Employee Discount Program
  • A positive work culture of high integrity team members.
  • Opportunities for career development and training.
  • A healthy work life balance.

The above statements are intended to describe the general nature and level of work for the position. They are not to be construed as an exhaustive list of all the responsibilities, duties, and skills required. All personnel may be required to duties outside of their normal responsibilities from time to time, as needed. All job descriptions are subject to change. Job functions and/or responsibilities can be amended at any time at management discretion.

At this time sponsorship is not available. Only permanent residents and citizens will be considered.

NSA OP, LP is an equal opportunity employer. Employment and promotional decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information or status as a covered veteran or any other basis of discrimination prohibited by applicable local, state, or federal law. No question in our application process is used for the process of limiting or excluding any applicant's consideration for employment on such grounds.

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