Data Scientist

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 us and find out why so many of our employees recommend us as a great place to work.We are seeking a Data Scientist at our corporate offices in Salt Lake City, Utah. This is an individual contributor role within the Revenue Management and Data Science organization. This person will be assisting with executing new revenue management strategies and improving the current systems, as well as managing aspects of strategic and tactical pricing for individual third-party properties. This is a high impact and high visibility role. Proactive communication and good collaboration with internal stakeholders are essential for success in this role.Please note this is an in-office position and is not hybrid or remote.Primary Responsibilities

Provides analytic feedback and pricing and discounting expertise to internal stakeholders.Diagnoses and communicates pricing decisions to cross-functional teams.Develop, maintain, and improve revenue management systems that are critical for driving revenue growth at Extra Space Storage.Design and execute A-B tests to inform revenue management, marketing, and other business function strategies.Work with internal stakeholders to ensure business considerations are executed effectively within the revenue management, marketing, and IT (Information Technology) systems.Support internal stakeholders with ad-hoc analyses and data needs.Perform data analysis, summarize the findings, and communicate the insights to the business audience to drive strategic changes.Use data science techniques to recommend customer segmentation frameworks to inform targeted pricing or other business initiatives.Document analytics systems and assigned data science projects including business objectives, data collection and analysis process, evaluated models and techniques, insights, and key metrics.Job Specifications

Drive optimal pricing-based decisions for segment of properties in conjunction with broader marketing activities.Provide feedback to data science team on effectiveness pricing/discount tactics and tools.Proven analytical and data driven decision-making skills.Experience with mining large data sets.Coding proficiency in SQL and Python a plus.Experience with Databricks, Microsoft Azure or other similar cloud environments is a plus.Experience with data visualization tools like Power BI (preferred) or Tableau.Team player with excellent collaboration skills.Excellent communication and presentation skills.Highly motivated and high level of energy and enthusiasm.Education And Experience

A master’s degree in mathematics, operations research, statistics, finance, economics, or other STEM degrees.Requires 2-4 years of experience in applying advanced analytics to drive business outcomes.We pride ourselves on hiring top talent and provide the following benefits and more:Well defined career pathsGreat work/life balanceMedical, dental, and vision benefitsHealth Savings Account (HSA) or Flexible Spending (FSA)Company paid Life, AD&D, and Short- & Long-Term Disability401K with company match after 90 days of serviceHoliday pay and paid time offExtensive wellness program and various employee discount programsPersonal health advocateOn-site fitness centerFree soda, coffee, and snacks all day every day and much, much more!If you are a current Extra Space employee, please apply through the "Find Internal Career Openings" 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.

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