Job Description

Company Description

With more than 2,500 locations nationwide, Public Storage is the leader in the self-storage industry, and given our number of tenants, we may very well be the world's largest landlord. We've experienced unprecedented growth over the past four decades, and it's in no small part due to the dedicated team that has helped us become an S&P 500 industry leader, the country's largest real estate investment trust (REIT), and the most recognizable name in self-storage.

Job Description

We are currently looking for a Senior Data Scientist Lead to join our Data & Analytics practice in Glendale, CA. 

The senior team leader 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 and Javascript are mandatory). She/He will be a continuously learning advocate and teacher with a talent for breaking down complex systems into solvable components. As part of the role is to lead and 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 angels. 

Responsibilities

  • Exceptional verbal and written skills to convey ideas, problems and solutions
  • 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
  • People leader

Qualifications

  • 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

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
  • Strong 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 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 programming skills (Python, Javascript, C++)

Additional Information

All your information will be kept confidential according to EEO guidelines.

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Req ID:743999749545215

Application Instructions

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