Staff Product Data Scientist
PandaDoc
full-time
Posted on:
Location Type: Remote
Location: Portugal
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Job Level
About the role
- Serve as a senior analytical leader, embedding yourself deeply in product and business data to uncover insights and drive actionable recommendations.
- Champion and drive the organizational shift toward a data-driven culture.
- Own the advancement of experimentation capabilities, train analysts and data scientists on causal methodologies.
- Provide leadership with a clear, reliable understanding of true impact and causality.
- Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc.
- Design, implement, and analyze complex A/B tests and advanced experimentation methods.
- Apply causal inference techniques to scenarios where randomized controlled trials are infeasible.
- Conduct complex, proactive, and exploratory analysis to discover user behavior and key metric changes.
- Define, instrument, and govern a unified Key Performance Indicator framework.
Requirements
- 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. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.
- 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 is a strong plus.
- Exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
- Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
- Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
- Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.
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,
- and of course, a fun team of Pandas to work with!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
causal inference methodsA/B testingstatistical modelingtime-series analysisexploratory data analysissample size calculationsvariance reduction techniquesQuasi-ExperimentationMatching MethodsInstrumental Variables
Soft Skills
communication skillspresentation skillsdata storytellinginfluencing skillschange managementnavigating ambiguityanalytical thinkingprioritizationcross-functional collaborationleadership
Certifications
B.A. or B.S. in MathematicsB.A. or B.S. in StatisticsB.A. or B.S. in EconomicsB.A. or B.S. in Computer ScienceMaster’s degree in StatisticsMaster’s degree in Data ScienceMaster’s degree in EconometricsMaster’s degree in Operations Research