The role involves leading the experimentation roadmap to measure impact on customer workflows, churn risk, and long-term value
Job Summary
The role involves leading the experimentation roadmap to measure impact on customer workflows, churn risk, and long-term value.
Candidates must apply advanced causal inference techniques such as difference-in-differences and propensity score matching where randomized trials are infeasible.
PandaDoc offers a remote-first approach with competitive salary options and a culture focused on work-life balance and integrity.
Matching Summary
The role involves leading the experimentation roadmap to measure impact on customer workflows, churn risk, and long-term value.
Salary
320-350 PLN annually/gross (Poland); Competitive salary (other locations); Contract type varies by location
Skills & Requirements
Must-have
Causal Inference methods
Advanced A/B testing design
Python or R programming
SQL and data warehouse expertise
KPI framework development
Nice-to-have
Experience with dbt or Airflow
SaaS domain experience
Mentorship of junior scientists
Change management skills
Bayesian experimentation knowledge
Key Requirements
6+ years professional experience in data science or product analytics
Master's degree in quantitative field preferred
Expertise in statistical modeling and time-series analysis