Staff Product Data Scientist
PandaDoc(1 month ago)
About this role
The Staff Data Scientist at PandaDoc is a senior analytical leader embedded in product and business data to surface insights and drive data-informed decisions. The role champions a shift to a data-driven culture, owns experimentation strategy and measurement frameworks, and trains other analysts and data scientists on causal methods. The position partners closely with Product, Finance, Design, Engineering, Product Marketing, and executive leadership and reports to the Director of Product Data.
Required Skills
- Experimentation
- Causal Inference
- A/B Testing
- Bayesian Experimentation
- Statistical Modeling
- Time-Series
- Python
- R
- SQL
- Data Warehousing
+11 more
Qualifications
- B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science or related quantitative 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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