Associate Data Scientist – AI Submission Analysis

Accela

Associate Data Scientist transforming unstructured data into insights for government efficiency. Utilizing AI technologies to analyze trends and recommend improvements in permitting processes.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $85,000 - $106,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudETLNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Analyze permit submission comments and rejection patterns to identify the most common causes of delays and opportunities to improve review cycle times.
Build, maintain, and refine NLP pipelines that classify reviewer comments into meaningful topics using clustering techniques and LLM-based approaches.
Design, test, and optimize prompts for Azure OpenAI and other AI models to classify, summarize, and extract insights from unstructured text.
Develop metrics, dashboards, and reports that translate data analysis into actionable recommendations for internal and external stakeholders.
Write and optimize SQL queries and Python-based ETL processes to extract, transform, and load data from SQL Server and cloud-based storage environments.
Evaluate AI and machine learning model outputs for quality, accuracy, consistency, and appropriate handling of sensitive information.
Design and execute experiments to measure and improve the effectiveness of classification models, prompts, and analytical approaches.
Partner with cross-functional teams to support data-driven decision-making and continuous improvement initiatives.

Requirements

What you’ll need

Bachelor's degree in Data Science, Computer Science, Statistics, Computational Linguistics, or a related field.
1-2 years of experience in data science, analytics, or a related field, including internships, academic projects, or professional experience.
Proficiency in Python, including experience with libraries such as pandas, numpy, and scikit-learn.
Experience writing SQL queries, including joins, aggregations, and common table expressions (CTEs).
Foundational understanding of natural language processing concepts, including text classification, clustering, and embeddings.
Exposure to large language models (LLMs), including prompt engineering and output evaluation.
Strong analytical and problem-solving skills with the ability to communicate findings clearly to both technical and non-technical audiences.
Familiarity with Git and version control best practices.

Benefits

Comp & perks

Flexible time off
Comprehensive medical, dental, and vision plans
Family planning benefits
401(k) retirement savings plan with company match
Health savings account with company contributions
Flexible spending account
Life, accident, and disability coverage
Business travel insurance
Employee assistance programs
Other well-being benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLNLPETLdata analysisclustering techniqueslarge language modelstext classificationpandasnumpy

Soft Skills

analytical skillsproblem-solving skillscommunication skills