Associate Data Scientist

Westport Properties, Inc.

. Contribute to the development and enhancement of the data science platform, including predictive modeling, automation, and machine learning tools .

Posted 10/12/2026full-timeUnited StatesJuniorMid-Level💰 $85,000 - $95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and data science, with proficiency in Python and Microsoft SQL Server for predictive modeling and automation. Capable of building and maintaining data pipelines, utilizing machine learning tools, and effectively communicating technical concepts to diverse audiences.

Highest-signal resume keywords

Python ProficiencyMicrosoft SQL ServerData AnalysisMachine LearningVersion Control (Git)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical ModelingFeature EngineeringModel Evaluation TechniquesNatural Language ProcessingAutomationData Pipeline DevelopmentData Extraction and TransformationClassificationRegression

Soft Skills

Strong Communication SkillsHighly OrganizedDetail-OrientedCollaborative Team PlayerProactive Self-Starter

Tools & Technologies

Microsoft Office SuiteExcelIDE ToolsMarkdown-Based Text EditorsMicrosoft PowerShellDockerAWSAzureSnowflakeLinux

Industry Keywords

Data ScienceData AnalyticsData IntegrityData SecurityStatistical Analysis

Tech Stack

Tools & technologies

AWSAzureDockerLinuxMS SQL ServerPythonRustSQL

About the role

Key responsibilities & impact

Contribute to the development and enhancement of the data science platform, including predictive modeling, automation, and machine learning tools
Build internal applications and processes supporting statistical analysis, natural language processing, and data-driven decision-making
Develop and maintain data pipelines for modeling and reporting using business intelligence systems and external sources
Use AI/LLM distillation and ablation to support corporate AI systems and productivity
Perform periodic special projects and other duties as assigned
Work with structured and unstructured data to build predictive models, automate analytical workflows, and extract insights using NLP, classification, regression, and clustering
Attend the regular worksite in accordance with the Company’s Attendance Policy
Work across changing tasks, frequent interruptions or distractions, and tight deadlines
Communicate with clients regarding storage accounts, billing invoices, and related account matters
Maintain a professional, presentable designated work area for video conference meetings with minimal distractions

Requirements

What you’ll need

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
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
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 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 able to work in cross-functional environments
Proactive, self-starter with a goal-oriented mindset and 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
Must pass a post-offer, pre-hire background screening including a multi-state criminal check and DMV Records
Preferred: experience with Microsoft PowerShell, Docker, C# or Rust, AWS, Azure, Snowflake, and Linux environments

Benefits

Comp & perks

Flexible work hours depending on departmental project deadlines and/or Company events and sponsored programs
Remote work arrangement within specified U.S. states
Ergonomic support for work area
Post-offer, pre-hire background screening