[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 PandaDoc is the top-rated solution for creating, managing, tracking, and eSigning every important document you handle. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https//www.pandadoc.com. Company H1B Sponsorship PandaDoc has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2024, 1 in 2023, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.