Applied Data Scientist focused on operational analytics at Rowan Digital Infrastructure. Developing models and metrics to enhance reliability and decision making for data center solutions.
About the role
- Product Data Scientist analyzing user behavior and product performance at GPTZero, an AI detection platform. Collaborating with teams to improve product value and insights.
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
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
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
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