Associate Data Scientist – AI Submission Analysis

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🇺🇸 United States – Remote

💵 $85k - $106k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Accela

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🏛️ Government

☁️ SaaS

🏢 Enterprise

Government • SaaS • Enterprise

Accela is a leader in providing cloud-based solutions designed to modernize government services. Their unified suite of innovative applications focuses on building more connected communities through enhanced efficiency and secure data management. Accela empowers local and state governments by streamlining processes such as building permits, licensing, cannabis regulation, and environmental health. With a focus on civic solutions, Accela aims to improve public sector operations by eliminating data silos and facilitating better interactions with residents. By leveraging their SaaS platform, governments can enhance service delivery, increase transparency, and reduce operational costs, leading to significant time and cost savings.

📋 Description

• 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

• 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

• 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