Job Description

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

We are currently looking for a Senior Data Scientist to join our Data & Analytics team in Plano, TX.

The Senior Data Scientist will have demonstrated his/her technical skills to lead the design and deployment of data science solutions that balance SOTA with team productivity, model reproducibility as well as support experimentation at scale, with a positive-focused, yet relentless goal for continuous improvement.

The role will lead the people, process and tool choices that support the efforts to build and deploy models that explain the real world, using a must-have combination of intuition, math and programming (Python/R and SQL are mandatory). She/He will be a continuously learning advocate and teacher with a talent for breaking down complex systems into solvable components and executing against that vision. As part of the role is to mentor data scientists and analysts, you love working with the team on any mix of issues that come to light such as in-depth technical/code reviews, hackathons, or whiteboarding to break down problems from multiple angles.


· Exceptional verbal and written skills to convey ideas, problems and solutions

· Expert at SQL and Python (experience with dbt or pipelines is desirable)

· Able to establish trust and confidence as the data science team lead, up, across and down the organization as needed

· Responsible for designing team processes and applying design patterns that apply statistical and model rigor

· Balance design choices with calculated trade-offs and revisit proactively

· SME on algorithms and designs code that can be refactored easily by a data engineers

· Builds repo and maintains a library of models that can be applied/refactored on similar design patterns

· Expert in both unstructured and structured data set ingestion and classification, regression, deep learning etc.

· Mentors and trains teams in new techniques and pushes boundaries of existing technology to deliver enterprise value

· Owns the Confluence knowledge repository and GitHub model repo

· Refresh, troubleshoot and update models as needed.

· Thought leader on how to converge available data, transfer learning from other projects and test new algorithms that optimize across large, ambiguous data sets

· Coordinate design and architecture with data engineering resources



Bachelors/Masters in STEM fields such as physics, social/economics, or business with a strong technical acumen required

· Masters in Comp Science + 4 years of experience or PhD STEM degree preferred

· Alternative to education, 6+ years of experience as contributor/leader

· Expert in SQL and Python in real-world

Knowledge Skills & Abilities

· Strong verbal communication skills: ability to effectively communicate cross functionally; experience as a DS team lead or department head of data science

· Proficiency with programming and scripting languages: Python, SQL and C++

· Strong command of applied math (linear/matrix functions) with deep learning theory and practice; Both frequentist or Bayesian welcome

· Experience with analytic frameworks and open source libraries

· Passionate about thinking through problems and solving them

· Realistic view of AI and understanding of how to use deep learning in real-world situations

· Exceptional demonstrated programming skills (Python, SQL, or C++) - 2+ years in a production environment is required

· ML Ops experience preferred

· Customer journey or website optimization (SFCC, G360, GA4)

· Experienced in Cloud, preferably GCP

· Familiar with Github or Gitlab


· One of our values pillars is to work as One Team and we believe that there is no replacement for in-person collaboration but understand the value of some flexibility. Public Storage teammates are expected to work in the office five days each week with the option to take up to three flexible remote days per month.

o Our office is based in Plano, east of Interstate 75 near E. Park Blvd, just North of Historic Downtown Plan

#REITJobs # ML # Machine Learning # Data Science



Additional Information

#REITJobs # ML # Machine Learning # Data Science


Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

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