• Develop anomaly detection systems for sewer infrastructure • Build predictive models for maintenance scheduling • Design and iterate on ML models for sewer applications • Build data processing pipelines for analyzing infrastructure data • Create visualizations and reports in Hex

• Sales Forecasting & Pipeline Analytics — Build and maintain predictive models for revenue forecasting, pipeline health, and deal velocity • Customer Segmentation & Churn Prediction — Develop models to identify high-value customer segments and predict at-risk accounts • Pricing Optimization & Market Analysis — Analyze pricing effectiveness, competitive positioning, and market opportunities • Dashboards & Reporting — Create interactive dashboards and reports in Hex to democratize data access across the sales org • Data Pipeline Development — Build and maintain data pipelines to ensure clean, reliable data for analysis

Product Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health - Discover actionable insights Seek objective truths through analysis, challenging assumptions, and uncovering the stories hidden in the data to guide decision-making. - Drive meaningful change Apply your analytical, statistical, and technical expertise to generate insights that directly influence our product decisions and business strategy. - Work with advanced tools Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement. Join us and play a pivotal role in shaping innovative solutions that transform telehealth, empower patients, and redefine the future of healthcare.

• As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. • A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. • You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality. • You will report to the Director of Product Data and act as a strategic thought partner to Product, Finance, Design, Engineering, Product Marketing, and executive leadership, ensuring alignment between data insights and critical business decisions. • Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV). • Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods. • Apply advanced causal inference techniques to scenarios where randomized controlled trials (RCTs) are infeasible. • Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights. • Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes.