Principal Data Scientist - G-P

About G-P

Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

As part of our mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™. Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.

About The Position

We’re building GIA — AI for General Counsel, in-house legal teams, and HR teams. GIA demands extreme ownership, relentless execution, and zero tolerance for waiting on someone else to make the call.

This role sits at the intersection of data science, data engineering, and product analytics. You will build the pipelines, run the analysis, train the models, and — most importantly — communicate what the data means for the product to drive high-impact decisions.

What You Will Do

• Build and own data infrastructure: Create and maintain pipelines, warehousing, ETL/ELT, and data quality to ensure a solid foundation.
• Analyze product usage and user behavior: Identify patterns, segment users, surface key signals from noise, and apply a product-focused mindset.
• Build models that ship: Develop LLM-based systems, traditional ML (classification, clustering, NLP), and evaluation frameworks based on problem needs.
• Define and track metrics: Track activation, retention, engagement, and PQLs to connect data directly to product and GTM decisions.
• Run experiments and measure impact: Execute A/B tests, causal analysis, and cohort studies with speed and rigor.
• Turn data into product conviction: Deliver actionable strategic recommendations to the team based on data insights.

What We Are Looking For

Minimum Requirements

• 5+ years of combined experience across data science, data engineering, and product analytics.
• Strong SQL and Python expertise (complex queries, data modeling, scripting, analysis).
• Experience with Databricks or equivalent modern data platforms (Snowflake, BigQuery).
• Hands-on LLM experience (fine-tuning, prompt engineering, embeddings, RAG, evaluation).
• Depth in traditional ML (classification, regression, clustering, NLP, feature engineering).
• Product mindset with an ability to connect analytical findings to core product decisions.
• Pipeline engineering skills to build reliable, scalable production data pipelines.
• Clear communication skills when presenting findings to non-technical stakeholders.

Preferred Qualifications

• Experience at an early-stage startup or as a founding data hire.
• Track record of building product analytics from scratch (instrumentation, event taxonomy, dashboards, self-serve reporting).
• Legal or HR domain experience.
• Experience with LLM evaluation and observability (tracing, scoring, drift detection).
• Familiarity with dbt, Airflow/Dagster, Spark, or similar orchestration and transformation tools.

How We Evaluate Candidates

• Practical exercise using a real dataset to evaluate product thinking and technical capabilities.
• Walkthrough of a past scenario where your analysis directly changed a product decision.
• Architecture session designing a data pipeline or ML model.
• Discussion on how you would instrument and measure a new feature from scratch.

Benefits & Perks

• Generous paid parental leave
• Flexible time off
• Medical, dental, and vision insurance
• Spending accounts
• Sabbatical after 5 years
• Annual performance bonus eligibility