Company DescriptionSince 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 DescriptionWe are currently looking for a Senior Data Scientist to join our Data & Analytics practice in Orlando, FL.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. ResponsibilitiesExceptional verbal and written skills to convey ideas, problems and solutionsAble to establish trust and confidence as the data science team lead, up, across and down the organization as neededResponsible for designing team processes and applying design patterns that apply statistical and model rigorBalance design choices with calculated trade-offs and revisit proactivelySME on algorithms and designs code that can be refactored easily by a data engineersBuilds repo and maintains a library of models that can be applied/refactored on similar design patternsExpert 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 valueOwns the Confluence knowledge repository and GitHub model repoRefresh, 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 setsCoordinate design and architecture with data engineering resourcesQualificationsBachelors/Masters in STEM fields such as physics, social/economics, or business with a strong technical acumen requiredMasters in Comp Science 4 years of experience or PhD STEM degree preferredAlternative to education, 6 years of experience as contributor/leaderKnowledge Skills & Abilities Strong verbal communication skills: ability to effectively communicate cross functionally; experience as a DS team lead or department head of data scienceStrong command of applied math (linear/matrix functions) with deep learning theory and practice; Both frequentist or Bayesian welcome Proficiency with programming and scripting languages: Python/R, SQL and C#/ Experience with analytic frameworks and open source librariesPassionate about thinking through problems and solving themRealistic view of AI and understanding of how to use deep learning in real-world situationsExceptional programming skills (Python, SQL, C ) in a production environment is required#REITJobs