What are the responsibilities and job description for the Data Scientist position at Extra Space?
At Extra Space Storage, what matters to you, matters to us! Join a company that cares about you.
It is an exciting time to be at Extra Space. We have been featured on multiple "Best Places to Work" awards, including Forbes and Glassdoor. We’re an S&P 500 company that hasn’t stopped growing since our founding in 1977. Today we are leading the self-storage industry in more ways than one, but in order to maintain this lead, we need exceptionally motivated, capable, and driven people like you. Self-storage is our product, helping people is our passion. Come grow with the largest self-storage company in the world and find out why so many of our employees recommend us as a great place to work.
Job Summary
Provides statistical support and guidance for marketing testing and research programs. Leads and manages various market research studies and other ad-hoc data analyses. Demonstrates familiarity with general database structures, primary research study process flow including design, data management and analysis.
The Data Scientist position is an onsite position with a required in-office presence at our Cottonwood Heights, Utah location.
Primary Responsibilities
Performs data analysis, interprets the findings from it and explains the finding to business audience to improve products such as revenue management system, website, and paid search bidding system
Uses statistical modeling to make predictions about future outcomes and in multiple scenarios. Develops recommendation models to evaluates these outcomes to recommend the best course of action to reduce CPAs and to increase revenues
Supports business teams such as operations, HR, marketing by recommending test designs to study the impact of new initiatives
Develops data-driven segmentation models that predict customer life time value that lead to acquiring highly valuable customers
Documents assigned aspects of projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
Job Specifications
Proven analytical skills with data driven decision-making skills
Ability to manage large data sets, synthesize and communicate findings
SQL programming skills. Python or R programming skills
Team player with excellent collaboration skills
Highly motivated and high level of energy and enthusiasm
Education and Experience
- A Master’s Degree in mathematics, statistics, finance, or economics; Requires 2 - 4 years' experience in applying advanced analytics to drive business outcomes
Working Conditions / Physical Demands
Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required. Close visual acuity required to perform work at computer terminal. No exposure to adverse environmental conditions. Requires repetitive typing motion, talking, hearing, grasping and feeling.
Disclaimer
The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
We pride ourselves on hiring top talent and provide the following benefits and more :
Well defined career paths
Great work / life balance and hybrid work schedule
Medical, dental, and vision benefits
Health Savings Account (HSA) or Flexible Spending (FSA)
Company paid Life, AD&D, and Short- & Long-Term Disability
401K with company match after 90 days of service
Holiday pay and paid time off
Extensive wellness program and various employee discount programs
Personal health advocate
On-site fitness center
Free soda, coffee, and snacks all day every day and much, much more!
If you are a current Extra Space employee, please apply through Jobs Hub in Workday.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
