Associate Data Scientist

Job Title: Associate Data Scientist

Reports To: Director of Data Strategy

Direct Reports: None

Department: Operations

Location: Remote to AR, AZ, CA, CO, FL, GA, IL, MA, MD, MN, MO, NC, NM, NV, NY, OR, PA, TN, TX, UT, or WA

FLSA Status: Exempt/Salary

Position Status: Full-Time

Work Schedule: Monday - Friday 8am - 5pm (Pacific) - subject to change based on project assignments/deadlines and location (i.e., time zone)

Base Salary Range: $85,000 - $95,000 (commensurate with experience)

Travel: Up to 5% of the time

Job Summary

The Associate Data Scientist will play a key role in developing data-driven solutions that support strategic decision-making and operational efficiency. This position is ideal for someone with a strong foundation in statistics, machine learning, and data science, who is eager to apply these skills in a collaborative, fast-paced environment.

The role involves working with structured and unstructured data to build predictive models, automate analytical workflows, and extract insights using techniques such as natural language processing, classification, regression, and clustering. The ideal candidate will be comfortable coding in Python, C#, or PowerShell, and working with databases like Microsoft SQL Server. Curiosity, adaptability, and a passion for solving complex problems with data are essential.

Essential Duties & Responsibilities

• Contribute to the ongoing development and enhancement of our data science platform, including tools for predictive modeling, automation, and machine learning.
• Build internal applications and processes that support statistical analysis, natural language processing, and data-driven decision-making across departments.
• Develop and maintain data pipelines that support modeling and reporting, leveraging data from our business intelligence systems and external sources.
• AI/LLM usage, distillation, and ablation to support corporate AI systems and productivity
• Regular worksite attendance in accordance with Company’s Attendance Policy is required for this position.
• Other duties as assigned:
  • Periodic special projects and duties may be assigned based on Company need and requirements.
  • Must be able to perform a variety of duties, often changing from one task to another, with frequent interruptions or distractions and within tight deadlines.

Qualifications

Education / Experience

• Bachelor’s degree in computer science, Data Analytics, Data Science, Mathematics, or similar from an accredited college or university is required.
• Equivalent work experience, internships, or projects may be substituted for educational requirements.
• 2+ years of on-the-job experience in data analytics and/or data science preferred or an advanced degree equivalent.

Required Skills

• Proficient usage of Microsoft SQL Server for data extraction and transformation.
• Proficient usage of Python for machine learning, statistical modeling, and automation.
• Familiarity with IDE tools and markdown-based text editors (e.g., Visual Studio, VS Code, Notepad++, Vim, or Emacs).
• Solid understanding of data analysis, feature engineering, and model evaluation techniques.
• Proficient with version control systems such as Git.
• Excellent computer skills, including CLI/Shell interface use, GUI navigation, and keyboard shortcuts.
• Awareness of data integrity, security, and safe programming practices.
• Proficient in Microsoft Office Suite—Word, Excel, and Outlook—with advanced Excel skills.
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
• Highly organized and detail-oriented, with the ability to manage multiple projects and deadlines.
• Collaborative team player who thrives in cross-functional environments.
• Proactive, self-starter with a goal-oriented mindset and the ability to work independently.
• Ability to communicate effectively while exercising diplomacy, sound judgment, and tact.
• Ability to work effectively with co-workers, department managers, and external partners.
• Ability to work flexible hours depending on departmental project deadlines and/or Company events and sponsored programs.

Preferred Skills

• Experience with Microsoft PowerShell for automation and scripting.
• Understanding of containerization tools like Docker.
• Familiarity with other object-oriented languages (e.g., C# or Rust).
• Exposure to cloud platforms (e.g., AWS, Azure, Snowflake) for scalable data science workflows.
• Working knowledge of Linux environments.

Physical Demands

• Stationary Position: frequently remains stationary up to 50% of the time and sitting up to 8 hours per day
• Move/Traverse: infrequently bend, stand, stoop and/or walk
• Carry Weight: infrequently carry weight and/or lift objects (light to heavy) weighing up to 10 pounds
• Hearing and Speech frequently communicates with the ability to hear and talk on a regular basis with clients who have inquiries about their storage accounts, billing invoice or other related account matters; must be able to exchange accurate information in these situations
• Sight: frequent use of sight to detect images on computer, office documents, facility objects near and far

Work Environment

• It is the team member’s responsibility to ensure a safe and healthy work environment. The team member’s work area needs to be located in a designated space, professional and presentable as such during video conference meetings with a minimum of audio or visual distractions. If a team member needs ergonomic support for their work area, please contact WPI’s HR department.

About Westport Properties

Founded in 1985, Westport Properties ("WPI") is an owner-operator of self-storage, multifamily and industrial properties across the United States. The Company is a fully integrated operator that develops, acquires and manages its portfolio as well as providing third-party management services. As of April 2026, WPI has over 15.4 million square feet of self-storage space under management and its total assets under management is just over $4.0 billion with its US Storage Centers brand as well as over 1,400 multifamily units while employing nearly 600 people nationwide. WPI is a founding partner of the 501(c)3 Kure-It, a non-profit organization that raises money for underfunded cancer research, and Charity Storage, a 501(c)3 that uses vacant storage units to raise money for local charities. To date, Kure-It has raised over $19M and Charity Storage has raised over $1.6M.

What We Value
As an organization, we value people who are motivated and driven. We value a collaborative work environment that enhances careers and positively impacts the community. We value our diverse work culture committed to delivering services and achieving high results. Being able to help those in need through multifamily, industrial, and storage space is just one way we measure success.

Disclaimer

All Employees must pass a post-offer, pre-hire background screening which includes a multi-state criminal check and DMV Records in accordance with federal protected FCRA/FACTA Requirements for Investigative Consumer Reports, CA ICRA and other state mandated requirements for employment purposes. Furthermore, this job description is subject to change at any time. Nothing in this job description is meant to guarantee employment status and/or position. This job description neither restricts nor prevents management’s right to assign and/or reassign duties and responsibilities to this job at any time of the essential functions. It does not proscribe or restrict the tasks that may be subsequently assigned.

Essential Job Function for Reasonable Work Accommodation

According to the American’s with Disabilities Act (ADA), Equal Employment Opportunity Commission (EEOC) and the California Fair Employment and Housing Act (FEHA), employees must be able to perform the essential job functions with or without a reasonable accommodation. The Company will provide reasonable work accommodations to allow the employee to perform their essential job functions and duties as detailed above. If you feel you need reasonable work accommodations, please contact the Human Resources department at (949) 748-5900.