Staff Product Data Scientist
PandaDoc(1 month ago)
About this role
The Staff Data Scientist will act as a senior analytical leader embedded in product and business data, driving the shift toward a data-driven culture and providing clear, reliable causal insights for decision makers. The role owns advancement of experimentation capabilities, measurement frameworks, and training of other analysts while partnering closely with Product, Finance, Design, Engineering, and executive leadership to align data insights with strategic business decisions.
Required Skills
- Experimentation
- Causal Inference
- AB Testing
- Bayesian Methods
- Statistical Modeling
- Time Series
- Python
- R
- SQL
- Data Warehousing
+8 more
Qualifications
- 6+ Years Experience
- B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or Related Field
- Master's in Quantitative Field (Preferred)
About PandaDoc
pandadoc.comI couldn’t find any company content in the HTML you supplied — it only contains cookie-banner CSS and no visible text about the business. Please either paste the page’s visible text or give the site URL or company name/industry and I’ll distill a 3–4 sentence profile. If you’d like a placeholder right away, here’s an example fictional profile I can adapt once you confirm details: "Verdant Analytics is a SaaS company that provides cloud-based analytics and reporting tools for e-commerce and retail teams. Their platform centralizes sales, inventory, and customer data to deliver automated dashboards, forecasting, and actionable insights. Built for business users and data teams, Verdant emphasizes easy integrations, real-time metrics, and secure cloud infrastructure."
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