Associate Data Scientist

Wpi Inc
United States
19 days ago
Apply on www.builtincolorado.com
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Compensation
$85,000.0 - $95,000.0
Working hours
Regular working hours

Tech stack

Clean Code Principles Microsoft Word Microsoft Excel Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Microsoft Outlook C Sharp (Programming Language) Data Integrity Data Mining Text Processing
+20 more
Vim (Text Editor) Python (Programming Language) Machine Learning Microsoft Visual Studio Microsoft SQL Server Natural Language Processing Object-Oriented Software Development Windows PowerShell Markdown Feature Engineering Large Language Models Snowflake Git Emacs Containerization Information Technology Data Analytics Software Version Control Data Pipelines Docker

Job description

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., * 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., * 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

Requirements

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., * 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., * 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.

Benefits & conditions

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)

About the company

  • 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.

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