Public Storage

Data Scientist

Public Storage • $155K — $170K *
Glendale, CA 91205In-Person
Information Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's/Master's in a STEM field (statistics, economics, CS, engineering, applied math, or similar)
  • Expert in SQL and Python in real-world settings
  • Ph.D. in a quantitative field a plus, with 5+ years in a production data science role preferred
  • Alternative to education, 6+ years of contributor/leader experience in data science
  • Demonstrated track record of shipping models that drove measurable business outcomes

Responsibilities

  • Communicate ideas, problems, and solutions effectively in verbal and written forms
  • Establish trust as a data scientist across the organization
  • Design, build, and deploy ML models using structured and unstructured data
  • Translate ambiguous business problems into clear analytical solutions
  • Write production-grade Python and SQL code; enhance shared codebases for reproducibility
  • Collaborate with data engineering on architecture and model deployment
  • Mentor analysts and junior data scientists through collaborative activities
  • Monitor and refresh deployed models proactively to prevent drift

Benefits

  • Flexible remote work options available (up to three days per month)
  • Emphasis on in-person collaboration with a team-oriented culture
  • Commitment to work-life balance within a structured environment
Full Job Description
Job Description

Responsibilities
  • Exceptional verbal and written skills to convey ideas, problems and solutions
  • Establish trust and confidence as the data scientist, up, across, and down the organization
  • Design, build, and deploy ML models across structured and unstructured data
  • Translate ambiguous business problems into well-scoped analytical solutions with clear trade-offs documented
  • Write production-grade Python and SQL; contribute to shared codebases with reproducibility and refactorability in mind
  • Collaborate with data engineering on pipeline architecture, feature stores, and model deployment patterns
  • Leverage LLMs and modern AI tooling where appropriate, sound judgment on when not to
  • Mentor analysts and junior data scientists through code review, whiteboarding, and hands-on pairing
  • Own model documentation, versioning, and knowledge artifacts (Confluence, GitHub)
  • Monitor deployed models for drift and degradation; refresh proactively, not reactively


Qualifications

Required:
  • Bachelor's/Master's in a STEM field (statistics, economics, CS, engineering, applied math, or similar)
  • Expert in SQL and Python in real-world

Preferred:
  • Ph.D. in a quantitative field a plus, equivalent experience considered: 5+ years in a production data science role
  • Alternative to education, 6+ years of experience as contributor/leader
  • Demonstrated track record shipping models that drove measurable business outcomes

Skills & Abilities
  • Strong verbal communication skills: ability to effectively communicate cross-functionally
  • Expert-level SQL and Python in production settings
  • Strong applied statistics - comfortable in frequentist and Bayesian frameworks
  • Experience with the modern ML stack: scikit-learn, XGBoost, PyTorch or equivalent; experiment tracking (MLflow, W&B, or similar)
  • MLOps fundamentals: versioning, model registries, scheduled retraining, monitoring
  • Git-based workflows (GitHub or GitLab) with code review habits
  • Familiarity with dbt or orchestration tools (Airflow, Prefect, etc.)
  • Exposure to web behavioral data and customer lifecycle modeling (churn, propensity, LTV)


Additional Information

Workplace
  • One of our values pillars is to work as OneTeam 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.
  • Comp Range: $155,000 - $170,000

About Public Storage

Public Storage is a real estate investment trust that specializes in the acquisition, development, ownership, and management of self-storage facilities. The company operates thousands of self-storage facilities across the United States and Europe. Public Storage was founded in 1972 and is headquartered in Glendale, California.
Learn more about Public Storage
Size
5,800 employees
Market Cap
$49.1 billion
Industry
Real Estate & Construction
Net Income
$1.3 billion
Founded
1972
5 Year Trend
+5.9%
Revenue
$2.9 billion
NASDAQ
PSA
* Ladders Estimates

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