[Remote] Staff GTM Data Scientist

Note: The job is a remote job and is open to candidates in USA. PandaDoc is seeking a Staff Data Scientist to lead analytical efforts and drive a data-driven culture within the organization. This role involves overseeing experimentation methodologies, conducting deep analyses, and providing strategic insights to various teams across the company.

Responsibilities

• Lead the Experimentation Roadmap: 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)
• Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers
• Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible
• Deep Dive Analysis: 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
• Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization
• Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers
• Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities
• Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling

Skills

• 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact
• 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, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables
• Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc
• Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations
• Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas)
• Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres)
• Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks
• A Master's degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research)
• Experience in a SaaS domain and a strong focus on Product Data Science

Benefits

• Tremendous career growth opportunities
• A competitive salary
• Health and commuter benefits
• Company paid life & disability
• 20+ PTO days
• 401K and FSA plans
• A fun team of Pandas to work with

Company Overview

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