Legal Practice Technology Data Scientist

Job Description Job Description

Location: San Francisco, CA

Our client is a distinguished global provider of legal services. This is a full-time, direct hire onsite role requiring US Citizenship or Green Card. We are seeking a Legal Practice Technology Data Scientist. This position can be in San Francisco, Los Angeles, Chicago, or New York - relocation assistance is not offered.

If you have spent your career in eDiscovery and litigation support and are ready to apply that foundation, along with a broader technical skill set, to a wider scope of work, this could be the role for you. Data Scientists sit within a group of discovery, data management, and AI specialists dedicated to designing and executing client-focused workflows on some of the most complex matters in our industry. You will report to the Associate Director of Technical Operations. The role is hands-on and client-facing; more than half of your time will be spent directly embedded in active matters. This position sits within the firm's Innovation Program.

Our client upholds strict performance standards and fosters a culture focused on continuous growth. Individuals who exhibit initiative and dedication will be offered opportunities for increased responsibilities and long-term professional advancement within the organization.

Must be a U.S. Citizen or Green Card holder - sponsorship is not available

Desired Qualifications and Experience :

• Bachelor's degree
• 3+ years of experience in a law firm, legal services, or professional services organization with significant experience working in a team environment.
• Ability to translate complex concepts into client-friendly language.
• Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions.
• Knowledge of statistical analysis and data modeling.
• Demonstrated hands-on experience with Relativity custom development. Deep knowledge in eDiscovery-focused data processing, structured analytics, and related troubleshooting.
• Expert-level proficiency in Microsoft Excel, including VBA development, Power Query, complex formula construction, advanced data modeling, and chart design.
• Experience in creating data visualizations with hands-on proficiency in tools such as Plotly, Tableau, and Microsoft Power BI.
• Strong Python skills for data analysis, statistical modeling, and AI/ML prototyping (e.g., pandas, PyTorch, TensorFlow); advanced SQL proficiency; experience building data pipelines.
• Proficiency in front-end web technologies including JavaScript, HTML, and CSS, with the ability to develop interactive web-based tools and dashboards.
• Hands-on experience with AI platforms and tools (e.g., OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, LangChain), including practical implementation of RAG pipelines, vector databases, and knowledge graph construction.
• General knowledge of social network analysis, natural language processing, classification algorithms, and image processing.
• Familiarity with git, svn, JIRA, or other version control technologies.
• Familiarity with hardware platforms (e.g., CPUs, GPUs, FPGAs).
• Familiarity with leading legal technology platforms is preferred (docketing systems, document management systems, case management systems, eDiscovery, data collection and web capture solutions).
• Experience evaluating LLM output quality through benchmarking, precision, recall, and extraction accuracy assessment is preferred.

Summary of Responsibilities:

Coordination and Execution of In-house Solution Development. You will support the collection of requirements and the design and building of in-house solutions. You will consult with case teams on data strategies and execute rapid solution development including custom scripting, data management, database development, and visualization design. You will complete requests requiring advanced technologies such as document layout analysis, LLM-based information extraction, semantic chunking, and entity recognition, while maintaining comprehensive documentation throughout.

Data Project Service Delivery. You will support matter-specific needs as a subject matter resource, analyzing and troubleshooting data processing and analytics issues. You will develop custom eDiscovery workflows and execute data-heavy, data-modeling projects that require creative problem-solving and technical depth.

Department Initiatives. You will work closely with other data science teams and Legal Practice Technology ("LPT") leadership to evaluate and test internal solutions and emerging technology. You will serve as a go-to resource for technical knowledge in AI, contributing your expertise to the team's continuous advancement of its capabilities.

How to Apply:

Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest.

Company Description We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best! Company Description We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!