Senior Data Scientist

Company Description

Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords.

We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.

We're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange.

Job Description

Position Overview: The employee will be responsible for enhancing the operational efficiency of our retail operations through comprehensive analysis of operational and human capital data. 

Responsibilities 

• Employee will be responsible to help drive the operational efficiency of our retail operations through the use of in-depth analysis of operational and human capital data  

• Perform detailed analysis of large datasets to uncover patterns, trends, and anomalies. 

• Develop and apply data mining techniques to extract valuable insights. 

• Create and maintain data visualizations (e.g., dashboards, charts) to effectively communicate findings.  

Data Modeling:  

• Construct and maintain data models to represent complex business processes and relationships  

• Develop predictive models to forecast future outcomes and trends  

• Integrate ideas into cohesive, well-grounded recommendations, using creative, structured, and analytical thinking supported by data visualization. Collaborate with business teams to understand their needs and provide tailored insights  

Data Governance:  

• Ensure data quality, integrity, and security by implementing data governance standards and best practices 

• Identifying data quality or data integrity issues and proposing actionable solutions. 

• Create reporting metrics, dashboards, and analytics to monitor, analyze, progress, and effectively deliver assessment and results to organizational leaders. 

• Partner with cross-functional teams to design and build analytics and reporting tools that drive continuous business improvement. 

• Provide insights to the leadership team on impact of strategic initiatives on key metrics and help them track progress towards goals 

• Identify opportunities for developing new data sources and provide technical leadership to ensure these sources are high-quality and widely accessible. 

• Participate in evaluations and assessments designed to identify and define issues, review and analyze data, and evaluate/document best practices. 

• Foster a culture of high-quality output and exceptional customer service by effectively communicate at all levels, ensuring timely completion of tasks, responding to unexpected obstacles and reallocate resources as necessary

Qualifications

• Bachelor’s degree required. Bachelor's degree in computer science, Information Systems, Business, Mathematics, I/O Psychology, Human Resources, Marketing Research, Behavioral Economics, or equivalent preferred. 

• 7 years of experience with data analysis, advanced analytics, measurement, and optimization. 

• Strong proficiency in SQL, Python, or R for data manipulation and analysis 

• Minimum of 3 years of experience with data visualization tools. Tableau preferred.  

• Experience with analytics tools (e.g., R/R Studio, SPSS, SAS) required 

Knowledge, Skills & Abilities 

• Comprehensive understanding of data warehouse design, data structure and data mining. 

• Strong analytical skills with the ability to collect, analyze, deduce, and present information. 

• Proficiency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, and experimental design 

• Advanced Microsoft Excel skills required.  

• Knowledge of SQL Server stack (SSMS, SSIS, SSAS, and SSRS) preferred 

• Flexibility and adaptability to new project initiatives or changing business requirements. 

• Exceptional attention to detail and critical thinking skills required. 

• Ability to explain complex data models to a non-technical audience. Exceptional communication skills required 

• Demonstrated knowledge of business goals and constraints. 

• Ability to discern when a question requires reporting on data vs. statistical analysis  

• Strong understanding of ecosystems, historical behaviors, and long-term trends 

• Ability to quickly grasp and implement new or cutting-edge concepts and technologies.  

• Excellent consulting, client management, and project management skills. 

Additional Information

Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply.