Product Data Scientist

GPTZero • New York City, NY

8d • Hybrid

About The Position

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute. We're looking for a Product Data Scientist who can dig into user behavior and product performance, run experiments, and build dashboards that reveal how customers use our web, API, and ML-powered products. You’ll help teams make smarter product decisions, improve engagement and retention, and ensure our models deliver real value in production.

Requirements

• 3+ years of experience in product data science, analytics, or a related role
• Very proficient with Python, SQL, and Pandas
• Strong foundation in statistics, experimentation, and causal inference
• Deep understanding of AI-powered products, including model performance, cost and speed tradeoffs
• Ability to translate business and product questions into rigorous analyses
• High ownership mindset with a bias toward action, learning, and iteration
• Comfort working in fast‑moving, ambiguous, 0 → 1 environments

Nice To Haves

• Experience working closely with ML or research teams
• Experience with Databricks (PySpark) and Amplitude

Responsibilities

• Analyze user behavior across web and API products to uncover insights and growth opportunities
• Define, own, and evolve core product metrics (e.g. activation, engagement, retention, accuracy)
• Design and analyze experiments to evaluate product changes and inform decisions
• Build dashboards and self‑serve analytics to support product and business decisions
• Work with ML engineers to evaluate model performance in real‑world product contexts

Benefits

• Health, dental, and vision coverage
• Hybrid work in Downtown Office with lunch
• Competitive salary
• Competitive equity for a founding team member
• Quarterly team retreats and offsites
• Flexible PTO
• Learning stipend, mentorship, and time with world-class advisors, including: Tom Glocer (former CEO of Reuters, who recently reviewed the beta and is advising our product team on launching hallucination detection) Gaurav Vohra (former Head of Growth at Superhuman, taking them from $0 to $10Ms of revenue, advising our growth team biweekly) Russ Heddleston (exited CEO Docsend to Dropbox, recently dropped into all-hands to share additional strategies for growing our self-serve GTM motion) Ruslan Salakhutdinov (former director of AI at Apple, and current VP of Research for LLama, who meets monthly with our team to advise on AI model development) Amy Saper (founding product marketer at Stripe, who offers time with our team on growth strategies) Jack Altman (CEO of Lattice, brother of Sam Altman) on building great product culture Mike Smith (COO Walmart.com , COO StitchFix) and Jeff Barrett CTO StitchFix, on scaling a great engineering team.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees