Data Scientist

Company Overview

National Storage Affiliates Trust is a real estate investment trust headquartered in Greenwood Village, Colorado. We focus on the ownership, operation, and acquisition of self-storage properties across the top 100 metropolitan statistical areas in the United States. As of March 31, 2022, we owned and operated 1,061 self-storage properties across 42 states and Puerto Rico, totaling approximately 68.4 million rentable square feet. NSA is a leading owner and operator of self-storage properties in the U.S. For more details, visit www.nationalstorageaffiliates.com. We are included in the MSCI US REIT Index (RMS/RMZ), the Russell 2000 Index, and the S&P MidCap 400 Index.

Reports To

Director, Data Science

Work Location

Hybrid in Denver, CO or fully remote within the U.S. (Sponsorship and C2C are not options for this position.)

Job Summary

As a Data Scientist I, you will join a dynamic team leveraging data to drive business decisions. Your responsibilities will include understanding business projects, querying and analyzing data, executing and evaluating A/B tests, and communicating insights. You will also support machine learning and automated intelligence initiatives.

Key Responsibilities

• Learn and Apply Best Practices: Acquire knowledge in data science and business best practices.
• Data Exploration and Analysis: Extract data from our data warehouse, conduct exploratory data analyses, work with the reporting team to create automated dashboards, and communicate insights effectively.
• A/B Testing: Set up, execute, and analyze A/B tests, and interpret results based on guidance from Data Science leadership.
• Pipeline Ownership: Manage data processing, analytic, and ML pipelines, ensuring data quality and reliable execution.
• Collaboration and Communication: Contribute to a positive work environment with a constructive attitude and effective communication with data colleagues and other departments.

Qualifications

Must Have Qualifications

• Technical Skills: Fluent in SQL and Python (or R with a willingness to learn Python).
• Data Handling: Comfortable with pandas (or equivalent in R) and sklearn.
• Visualization Tools: Familiarity with PowerBI or Tableau.
• Statistical Analysis: Understanding of A/B testing and statistical methods.
• Personal Attributes: Positive attitude, hard-working, receptive to feedback, and a willingness to learn from mistakes.

Nice To Have Qualifications

• Version Control: Experience with GIT.
• Code Quality: Experience writing modular, production-ready code.
• Big Data Tools: Familiarity with Databricks and PySpark.
• GIS Experience: Knowledge of GIS, especially the ArcGIS Python API.

Education And Experience

• Degree: Master’s or Bachelor’s degree in a STEM discipline.
• Experience: No prior work experience required; 0-3 years of relevant experience is acceptable.

This role is a fully remote position. The successful candidate can live in any of the following eligible States: Alabama, Arizona, Colorado, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Maryland, Michigan, Mississippi, Missouri, Nevada, New Mexico, North Carolina, Ohio, Oklahoma, Oregon, South Carolina, Tennessee, Texas, Utah or Washington.

Physical Demands

This position operates in a professional office environment, using standard office equipment such as computers, phones, photocopiers, and filing cabinets. The role requires regular talking, hearing, sitting, standing, and walking. Some tasks may involve extended periods of sitting or standing.

Compensation Range

$75,000 – $95,000 base salary, based on experience and expertise.

FLSA Status

Exempt

Sponsorship

Currently, sponsorship is not available. Only permanent residents and U.S. citizens will be considered.

Equal Opportunity Statement

NSA OP, LP is an equal opportunity employer. Employment and promotional decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other basis of discrimination prohibited by law. Our application process is designed to ensure equal consideration for all applicants