Benefits

Full Job Description

Role Overview We're building GIA — AI for General Counsel, in-house legal teams, and HR teams. This role sits at the intersection of data science, data engineering, and product analytics. You build the pipelines, run the analysis, train the models, and — most importantly — tell us what the data means for the product. What You Will Do Build and own data infrastructure — pipelines, warehousing, ETL/ELT, data quality; make sure the foundation is solid. Analyze product usage and user behavior — identify patterns, segment users, surface what matters from the noise; think like a product person, not just a data person. Why It Might Be a Fit We're looking for a Principal Data Scientist with a strong product mindset, experience in data science, data engineering, and analytics, and the ability to communicate complex findings to non-technical stakeholders. Requirements 5+ years across data science, data engineering, and analytics — you do all three, not just one Strong SQL and Python — complex queries, data modeling, scripting, analysis; this is your daily toolkit Databricks or equivalent modern data platform experience (Snowflake, BigQuery) LLM experience — fine-tuning, prompt engineering, embeddings, RAG, evaluation; not just API calls Traditional ML depth — classification, regression, clustering, NLP, feature engineering; you pick the right tool for the problem Product mindset — you filter signal from noise, understand user behavior, and connect analysis to product decisions Pipeline engineering — you build reliable, scalable data pipelines, not notebooks that break in production Clear communicator — you present findings to non-technical stakeholders with clarity and conviction Benefits Generous paid parental leave Flexible time off Spending accounts Medical insurance Dental insurance Vision insurance Sabbatical after 5 years

Skills and Technologies