Data Scientist

Company Description

Dick Law Firm - 832LAWYERS, based in Houston, Texas, is a cutting-edge law tech firm specializing in insurance claims. Founded by Eric Dick, a highly skilled attorney with multiple Super Lawyers® Rising Stars℠ inclusions, the firm leverages advanced technology and automation to revolutionize legal service delivery.

With insider knowledge of the insurance industry, a commitment to innovation, and dedication to fighting for policyholders' rights, Dick Law Firm provides exceptional, tech-forward legal services to its clients.

Role Description

This is an entry-level 1099 contract position for a Data Scientist, located on-site in Houston, TX. The Data Scientist will report to the Vice President of Claims and periodically to Eric Dick, the firm's founder. The Data Scientist will be responsible for building and implementing automations through platforms like Make and Zapier, analyzing datasets, developing data models, and conducting statistical analysis.

The role requires extensive use of AI platforms including Claude, ChatGPT, and Grok to enhance efficiency and innovation. Day-to-day tasks include workflow automation, data cleaning, developing processes for automations to correctly store and clean data, data mining, predictive modeling, creating specialized LLMs, and reporting insights to support legal strategies and business decisions.

We will provide comprehensive training, but candidates must be self-motivated and proactive in identifying opportunities to increase efficiency through automations and data science applications. The ideal candidate actively seeks innovative solutions and continuously looks for ways to optimize workflows and processes. No formal work experience required.

Qualifications

Required

Familiarity with AI platforms (Claude, ChatGPT, Grok)

Required

• Basic knowledge of automation platforms (Make, Zapier) or eagerness to learn
• Familiarity with RMarkdown and Python (preferred but not mandatory)
• Data Science, Data Analytics, and Data Analysis skills
• Interest in Statistics and Statistical Analysis
• Willingness to learn Data Visualization tools and techniques
• Strong analytical and problem-solving abilities
• Excellent communication skills and ability to work collaboratively
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field (Master's degree strongly preferred; candidates currently pursuing their Master's degree are strongly encouraged to apply)
• No formal work experience required - recent graduates encouraged to apply