Staff GTM Data Scientist

🕒 February 19

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PandaDoc

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

☁️ SaaS

🤝 B2B

⚡ Productivity

💰 Series C on 2021-09

SaaS • B2B • Productivity

PandaDoc is a comprehensive document management solution that helps businesses streamline their document workflows. It offers a range of features including custom agreement generation, eSignatures, CPQ (configure, price, quote) capabilities, and real-time collaboration tools. PandaDoc is designed for ease of use, enabling teams to automate document creation and management processes, thus improving efficiency and reducing errors. The platform integrates with popular CRM systems, payment gateways, and other tools to facilitate seamless business operations. Focused on security and compliance, PandaDoc supports legal and secure electronic transactions, making it ideal for businesses looking to optimize their agreement management processes.

📋 Description

• Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact • Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests • Causal Inference Beyond A/B: Apply advanced causal inference techniques to scenarios where RCTs are infeasible • Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior • Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework • Scaling Data Science: Partner with Data Engineering to design and build scalable experimentation tooling • Strategic Influence: Translate complex statistical findings into clear business narratives • Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior data scientists

🎯 Requirements

• 6+ years of professional experience in an applied data science, economics, or product analytics role • B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline • Demonstrated expertise in applying a wide range of Causal Inference methods • Expertise in advanced statistical methodologies for A/B testing • Mastery of advanced statistical modeling, time-series analysis, and quantitative methods • Advanced proficiency in Python or R for statistical modeling • Expert-level proficiency in SQL and experience working with established data warehouses • Experience with data transformation and workflow management tools

🏖️ Benefits

• Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, • Flexible work arrangements • Professional development opportunities