Staff GTM Data Scientist

🕒 April 1

🇺🇸 United States – Remote

💵 $190k - $210k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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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

• Serve as a senior analytical leader to uncover insights and drive recommendations • Champion and drive the organizational shift toward a data-driven culture • Own the advancement of experimentation capabilities and train other analysts • Act as a strategic thought partner to Go-to-Market teams and executive leadership • Define, champion, and execute a strategic roadmap for measuring impact • Design, implement, and analyze complex A/B tests and multivariate experiments • Apply advanced causal inference techniques • Conduct complex exploratory analysis to discover user behavior and trends • Define and govern a unified Key Performance Indicator (KPI) framework • Partner with Data Engineering to build scalable experimentation tooling • Translate complex statistical findings into actionable business narratives • Mentor junior and mid-level data scientists on best practices

🎯 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 • A Master’s degree in a quantitative field is preferred, but not required • 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 with established data warehouses • Experience with data transformation and workflow management tools is a strong plus.

🏖️ Benefits

• tremendous career growth opportunities • competitive salary • health and commuter benefits • company paid life & disability • 20+ PTO days • 401K and FSA plans • fun team of Pandas to work with!